diff --git a/.Rbuildignore b/.Rbuildignore index 88076b9..885bee7 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -18,3 +18,5 @@ ^pkgdown$ ^check\.sh$ ^\.Rprofile$ +^\.positai$ +^\.remember$ diff --git a/.gitignore b/.gitignore index 79ffe83..760f89e 100644 --- a/.gitignore +++ b/.gitignore @@ -9,3 +9,6 @@ inst/doc /Meta/ scratch.R .gitlab-ci.yml +.positai +docs/ +.remember/ diff --git a/DESCRIPTION b/DESCRIPTION index 15f4ca8..c6313fc 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -19,7 +19,7 @@ Description: Provides utility functions that extend the capabilities of the License: GPL (>= 3) Encoding: UTF-8 Roxygen: list(markdown = TRUE) -RoxygenNote: 7.3.2 +RoxygenNote: 7.3.3 Suggests: cards, ggplot2, diff --git a/NAMESPACE b/NAMESPACE index 666244f..dfb4ee7 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -23,6 +23,7 @@ export(gcomp_binary) export(gcomp_responder) export(gcomp_responder_multi) export(get_imputed_data) +export(get_pooling) export(plot_forest) export(pool_to_ard) export(prepare_data_ice) diff --git a/NEWS.md b/NEWS.md index a909227..a5f5444 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,5 +1,14 @@ # rbmiUtils (development version) +## New features + +* `analyse_mi_data()` gains a `pooling` argument so already-imputed (ADMI) + data can be analyzed when the imputation method is unknown. Supply either + `method` or `pooling`; `pooling = "rubin"` is recommended for data of + unknown provenance (#50). +* New exported helper `get_pooling()` maps an `rbmi` method object to its + pooling strategy (`"rubin"`, `"bootstrap"`, `"jackknife"`, `"bmlmi"`) (#50). + # rbmiUtils 0.3.0 ## CRAN Release diff --git a/R/analyse_mi_data.R b/R/analyse_mi_data.R index 7da9e5e..b4ecb7e 100644 --- a/R/analyse_mi_data.R +++ b/R/analyse_mi_data.R @@ -7,12 +7,29 @@ #' @param vars A list specifying key variables used in the analysis (e.g., `subjid`, `visit`, `group`, `outcome`). #' Created using [rbmi::set_vars()]. Required. #' @param method A method object specifying the imputation method used (e.g., Bayesian imputation). -#' Created using [rbmi::method_bayes()], [rbmi::method_approxbayes()], or [rbmi::method_condmean()]. Required. +#' Created using [rbmi::method_bayes()], [rbmi::method_approxbayes()], or [rbmi::method_condmean()]. +#' Optional if `pooling` is supplied. #' @param fun A function that will be applied to each imputed dataset. Defaults to [rbmi::ancova]. #' Other options include [gcomp_responder_multi()] for binary outcomes. Must be a valid analysis function. #' @param delta A `data.frame` used for delta adjustments, or `NULL` if no delta adjustments are needed. Defaults to `NULL`. #' Must contain columns matching `vars$subjid`, `vars$visit`, `vars$group`, and a `delta` column. #' @param ... Additional arguments passed to the analysis function `fun`. +#' @param pooling Optional length-one character giving the pooling strategy +#' directly: `"rubin"`, `"bootstrap"`, `"jackknife"`, or `"bmlmi"`. Use this +#' when the imputation method that produced `data` is unknown. Supply either +#' `method` or `pooling`; if both are given they must agree (see +#' [get_pooling()]). For an imputed dataset of unknown provenance, +#' `pooling = "rubin"` is recommended: `"bootstrap"` and `"jackknife"` +#' pooling assume a specific ordering of samples (original-data estimate +#' first for bootstrap) that cannot be verified without the method object, +#' and `"bmlmi"` cannot be selected via `pooling` alone because the number +#' of analyses per imputation (D) is not inferable from the data. When only +#' `pooling` is supplied, the number of imputations is taken from the data +#' and no sample-count check is performed. In this case, the returned +#' object's `method` element is a constructed stand-in consistent with the +#' chosen pooling strategy, not the true imputation method — it exists only +#' to satisfy [rbmi::pool()]'s internal validation, and `print()`/`summary()` +#' report it as not supplied rather than as a real method. #' #' @details #' The function loops through distinct imputation datasets (identified by `IMPID`), applies the provided analysis function `fun`, and stores the results for later pooling. If a `delta` dataset is provided, it will be merged with the imputed data to apply the specified delta adjustment before analysis. @@ -32,6 +49,7 @@ #' * [rbmi::pool()] for pooling the analysis results #' * The [rbmi quickstart vignette](https://CRAN.R-project.org/package=rbmi/vignettes/quickstart.html) #' * [tidy_pool_obj()] to format pooled results for publication +#' * [get_pooling()] for the method-to-pooling mapping #' * [get_imputed_data()] to extract imputed datasets from rbmi objects #' * [expand_imputed_data()] to reconstruct full imputed data from reduced form @@ -78,6 +96,14 @@ #' delta = NULL # No sensitivity analysis adjustment #' ) #' +#' # When the imputation method is unknown, specify pooling directly: +#' ana_obj <- analyse_mi_data( +#' data = ADMI, +#' vars = vars, +#' pooling = "rubin", +#' fun = ancova +#' ) +#' #' @export analyse_mi_data <- function( data = NULL, @@ -85,8 +111,11 @@ analyse_mi_data <- function( method = NULL, fun = rbmi::ancova, delta = NULL, - ... + ..., + pooling = NULL ) { + method_supplied <- !is.null(method) + # Check for missing inputs if (is.null(data)) { cli::cli_abort( @@ -150,13 +179,36 @@ analyse_mi_data <- function( ) } - # Check method is provided - if (is.null(method)) { + # Resolve method / pooling: either may be supplied; both must agree + valid_pooling <- c("rubin", "bootstrap", "jackknife", "bmlmi") + if (!is.null(pooling) && + (!is.character(pooling) || length(pooling) != 1 || + !pooling %in% valid_pooling)) { cli::cli_abort( - "{.arg method} cannot be NULL. Specify a method using {.fn rbmi::method_bayes} or similar.", + "{.arg pooling} must be one of {.val {valid_pooling}}.", class = c("rbmiUtils_error_validation", "rbmiUtils_error") ) } + if (is.null(method) && is.null(pooling)) { + cli::cli_abort( + c( + "Either {.arg method} or {.arg pooling} must be supplied.", + "i" = "Use {.fn rbmi::method_bayes} or similar if the imputation method is known.", + "i" = "If it is unknown, specify the pooling strategy directly, e.g. {.code pooling = \"rubin\"}." + ), + class = c("rbmiUtils_error_validation", "rbmiUtils_error") + ) + } + if (!is.null(method)) { + method_pooling <- get_pooling(method) + if (!is.null(pooling) && !identical(pooling, method_pooling)) { + cli::cli_abort( + "{.arg pooling} ({.val {pooling}}) conflicts with {.arg method}, which implies {.val {method_pooling}}. Supply one or the other.", + class = c("rbmiUtils_error_validation", "rbmiUtils_error") + ) + } + pooling <- method_pooling + } # Check for empty data if (nrow(data) == 0) { @@ -175,45 +227,51 @@ analyse_mi_data <- function( ) } - # Extract expected number of samples from method using inherits() - n_expected <- if (inherits(method, "bayes") || inherits(method, "approxbayes")) { - method$n_samples - } else if (inherits(method, "condmean")) { - method$n_samples - } else if (inherits(method, "bmlmi")) { - method$n_samples - } else { - NULL - } - - # Check and filter IMPID values to match expected sample size + # Count imputations present in the data unique_impids <- sort(unique(data$IMPID)) n_impids <- length(unique_impids) - if (!is.null(n_expected) && n_impids != n_expected) { - if (n_impids > n_expected) { - # Filter to first n_expected imputations - cli::cli_warn( - "Data contains {n_impids} imputation{?s} but method expects {n_expected}. Using first {n_expected} imputation{?s}." - ) - # Filter data to only include the first n_expected IMPID values - keep_impids <- unique_impids[seq_len(n_expected)] - data <- data[data$IMPID %in% keep_impids, ] + if (method_supplied) { + # Extract expected number of samples from method using inherits() + n_expected <- if (inherits(method, "bayes") || inherits(method, "approxbayes")) { + method$n_samples + } else if (inherits(method, "condmean")) { + method$n_samples + } else if (inherits(method, "bmlmi")) { + method$n_samples + } else { + NULL + } - # Verify filtering worked - n_after <- length(unique(data$IMPID)) - if (n_after != n_expected) { + # Check and filter IMPID values to match expected sample size + if (!is.null(n_expected) && n_impids != n_expected) { + if (n_impids > n_expected) { + # Filter to first n_expected imputations + cli::cli_warn( + "Data contains {n_impids} imputation{?s} but method expects {n_expected}. Using first {n_expected} imputation{?s}." + ) + keep_impids <- unique_impids[seq_len(n_expected)] + data <- data[data$IMPID %in% keep_impids, ] + + n_after <- length(unique(data$IMPID)) + if (n_after != n_expected) { + cli::cli_abort( + "Internal error: filtering failed. Expected {n_expected} imputations, got {n_after}.", + class = c("rbmiUtils_error_internal", "rbmiUtils_error") + ) + } + } else { cli::cli_abort( - "Internal error: filtering failed. Expected {n_expected} imputations, got {n_after}.", - class = c("rbmiUtils_error_internal", "rbmiUtils_error") + "Data contains {n_impids} imputation{?s} but method expects {n_expected}. Need more imputations.", + class = c("rbmiUtils_error_validation", "rbmiUtils_error") ) } - } else { - cli::cli_abort( - "Data contains {n_impids} imputation{?s} but method expects {n_expected}. Need more imputations.", - class = c("rbmiUtils_error_validation", "rbmiUtils_error") - ) } + } else { + # No method supplied: the data defines the number of imputations. + # Build a stand-in method so downstream rbmi::pool() validation + # (which asserts result counts against method$n_samples) passes. + method <- make_standin_method(pooling, n_impids) } ## check delta has correct variables and then apply @@ -305,18 +363,7 @@ as_analysis2 <- function( details = "Internal helper will be removed. Use inherits()-based class detection directly." ) - next_class <- if (inherits(method, "bayes") || inherits(method, "approxbayes")) { - "rubin" - } else if (inherits(method, "condmean")) { - if (method$type == "jackknife") "jackknife" else "bootstrap" - } else if (inherits(method, "bmlmi")) { - "bmlmi" - } else { - cli::cli_abort( - "Unrecognized method class: {.cls {class(method)}}. Expected one of: bayes, approxbayes, condmean, bmlmi.", - class = c("rbmiUtils_error_dependency", "rbmiUtils_error") - ) - } + next_class <- get_pooling(method) if (!is.list(results)) { cli::cli_abort( @@ -382,7 +429,9 @@ print.analysis <- function(x, ...) { cli::cli_rule() # Method detection (inherits-based, hardened in 01-02) - method_class <- if (inherits(x$method, "bayes")) { + method_class <- if (inherits(x$method, "rbmiUtils_standin")) { + sprintf("", get_pooling(x$method)) + } else if (inherits(x$method, "bayes")) { "bayes" } else if (inherits(x$method, "approxbayes")) { "approxbayes" @@ -471,7 +520,10 @@ summary.analysis <- function(object, n_preview = 5, ...) { # Method section (inherits-based, hardened in 01-02) cli::cli_h2("Method") - method_class <- if (inherits(object$method, "bayes")) { + is_standin <- inherits(object$method, "rbmiUtils_standin") + method_class <- if (is_standin) { + sprintf("", get_pooling(object$method)) + } else if (inherits(object$method, "bayes")) { "bayes" } else if (inherits(object$method, "approxbayes")) { "approxbayes" @@ -484,7 +536,7 @@ summary.analysis <- function(object, n_preview = 5, ...) { } cli::cli_text("{.field Type}: {method_class}") - if (method_class %in% c("bayes", "approxbayes")) { + if (!is_standin && method_class %in% c("bayes", "approxbayes")) { if (!is.null(object$method$n_samples)) { n_samples <- object$method$n_samples cli::cli_text("{.field Samples}: {n_samples}") @@ -541,3 +593,54 @@ summary.analysis <- function(object, n_preview = 5, ...) { invisible(summary_info) } + +#' Construct a Stand-in Method Object for a Pooling Strategy +#' +#' When [analyse_mi_data()] is called with `pooling` but no `method`, a +#' method object consistent with the observed number of imputations is +#' required so that `rbmi::pool()` validation passes (`rbmi` asserts result +#' counts against `method$n_samples`). +#' +#' @param pooling Length-one character: `"rubin"`, `"bootstrap"`, +#' `"jackknife"`, or `"bmlmi"`. +#' @param n_imps Number of distinct imputations observed in the data. +#' +#' @return An `rbmi` method object, additionally classed +#' `"rbmiUtils_standin"` so callers (e.g. `print.analysis()`, +#' `summary.analysis()`) can detect that the method was constructed rather +#' than supplied by the user, without affecting `inherits()` checks against +#' the underlying `rbmi` method classes (`bayes`, `condmean`, etc.). +#' @keywords internal +#' @noRd +make_standin_method <- function(pooling, n_imps) { + if (identical(pooling, "bootstrap") && n_imps < 2) { + cli::cli_abort( + c( + "{.val bootstrap} pooling needs at least 2 imputations, got {n_imps}.", + "i" = "Bootstrap pooling treats the first imputation as the original-data estimate and the rest as bootstrap replicates, so at least one replicate is required." + ), + class = c("rbmiUtils_error_validation", "rbmiUtils_error") + ) + } + + m <- switch( + pooling, + rubin = rbmi::method_bayes(n_samples = n_imps), + bootstrap = rbmi::method_condmean(type = "bootstrap", n_samples = n_imps - 1), + jackknife = rbmi::method_condmean(type = "jackknife"), + bmlmi = cli::cli_abort( + c( + "{.val bmlmi} pooling cannot be selected via {.arg pooling} alone.", + "i" = "BMLMI pooling needs the number of analyses per imputation (D), which cannot be inferred from the data.", + "i" = "Supply {.code method = rbmi::method_bmlmi(B = , D = )} instead." + ), + class = c("rbmiUtils_error_validation", "rbmiUtils_error") + ), + cli::cli_abort( + "Internal error: unrecognized pooling strategy {.val {pooling}}.", + class = c("rbmiUtils_error_validation", "rbmiUtils_error") + ) + ) + + structure(m, class = c("rbmiUtils_standin", class(m))) +} diff --git a/R/ard_conversion.R b/R/ard_conversion.R index 70702bf..91fee80 100644 --- a/R/ard_conversion.R +++ b/R/ard_conversion.R @@ -210,7 +210,7 @@ is_cards_available <- function() { #' #' Internal helper that orchestrates the computation of MI diagnostic #' statistics across all parameters. Checks the pooling method, extracts -#' per-imputation estimates/SEs/dfs, calls [compute_rubin_diagnostics()] +#' per-imputation estimates/SEs/dfs, calls `compute_rubin_diagnostics()` #' for each parameter, and returns diagnostic ARD rows. #' #' @param pool_obj A pooled analysis object of class `"pool"`. @@ -266,7 +266,7 @@ compute_mi_diagnostics <- function(pool_obj, analysis_obj, tidy_df) { #' for a single parameter, using the same grouping columns as the base #' ARD rows. #' -#' @param diag Named list from [compute_rubin_diagnostics()]. +#' @param diag Named list from `compute_rubin_diagnostics()`. #' @param param_row One-row data.frame from [tidy_pool_obj()] for this parameter. #' @param M Integer, number of imputations. #' diff --git a/R/get_pooling.R b/R/get_pooling.R new file mode 100644 index 0000000..9f78791 --- /dev/null +++ b/R/get_pooling.R @@ -0,0 +1,46 @@ +#' Determine the Pooling Strategy for an Imputation Method +#' +#' @description +#' Maps an `rbmi` method object to the pooling strategy that +#' [rbmi::pool()] will apply to the analysis results: +#' +#' * [rbmi::method_bayes()] / [rbmi::method_approxbayes()] -> `"rubin"` +#' * [rbmi::method_condmean()] with `type = "bootstrap"` -> `"bootstrap"` +#' * [rbmi::method_condmean()] with `type = "jackknife"` -> `"jackknife"` +#' * [rbmi::method_bmlmi()] -> `"bmlmi"` +#' +#' This is the single source of truth used internally by +#' [analyse_mi_data()]; it is exported so the mapping is transparent and +#' usable in user code (see issue #50). +#' +#' @param method A method object created by [rbmi::method_bayes()], +#' [rbmi::method_approxbayes()], [rbmi::method_condmean()], or +#' [rbmi::method_bmlmi()]. +#' +#' @return A length-one character vector: `"rubin"`, `"bootstrap"`, +#' `"jackknife"`, or `"bmlmi"`. +#' +#' @seealso [analyse_mi_data()] +#' +#' @examples +#' get_pooling(rbmi::method_bayes(n_samples = 10)) +#' get_pooling(rbmi::method_condmean(type = "jackknife")) +#' +#' @export +get_pooling <- function(method) { + if (inherits(method, "bayes") || inherits(method, "approxbayes")) { + "rubin" + } else if (inherits(method, "condmean")) { + # rbmi::method_condmean()$type is currently only ever "jackknife" or + # "bootstrap"; this assumes that domain is exhaustive and treats + # anything not "jackknife" as "bootstrap". + if (identical(method$type, "jackknife")) "jackknife" else "bootstrap" + } else if (inherits(method, "bmlmi")) { + "bmlmi" + } else { + cli::cli_abort( + "Unrecognized method class: {.cls {class(method)}}. Expected one of: bayes, approxbayes, condmean, bmlmi.", + class = c("rbmiUtils_error_validation", "rbmiUtils_error") + ) + } +} diff --git a/_pkgdown.yml b/_pkgdown.yml index 375d1ac..7e5f1ea 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -53,6 +53,7 @@ reference: desc: "Apply analysis functions across imputed datasets" contents: - analyse_mi_data + - get_pooling - gcomp_responder - gcomp_responder_multi - gcomp_binary diff --git a/data-raw/generate-doc-images.R b/data-raw/generate-doc-images.R index 8ff2cf2..7c04316 100644 --- a/data-raw/generate-doc-images.R +++ b/data-raw/generate-doc-images.R @@ -22,7 +22,7 @@ library(gt) # --- Data preparation (same as README.Rmd) --- data("ADMI", package = "rbmiUtils") -ADMI <- ADMI %>% +ADMI <- ADMI |> mutate( TRT = factor(TRT, levels = c("Placebo", "Drug A")), USUBJID = factor(USUBJID), diff --git a/docs/404.html b/docs/404.html deleted file mode 100644 index de57909..0000000 --- a/docs/404.html +++ /dev/null @@ -1,99 +0,0 @@ - - - - - - - -Page not found (404) • rbmiUtils - - - - - - - - - - - - - - - - Skip to contents - - -
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Storing and Analyzing Imputed Data with rbmiUtils

- -

2026-02-16

- - Source: vignettes/analyse2.Rmd -
analyse2.Rmd
-
- - - -
-

Introduction -

-

This vignette demonstrates how to:

-
    -
  • Perform multiple imputation using the {rbmi} -package
    • -
  • Store and modify the imputed data using -rbmiUtils -
    • -
  • Analyze the imputed data using: -
      -
    • A standard ANCOVA on a continuous endpoint (CHG)
      • -
    • A binary responder analysis on CRIT1FLN using {beeca} -
      • -
    -
    • -
-

This pattern enables reproducible workflows where imputation and -analysis can be separated and revisited independently.

-

Related vignettes:

- -
-
-

Statistical Context -

-

This approach applies Rubin’s Rules for inference -after multiple imputation (see the rbmi -quickstart vignette for background on the draws/impute/analyse/pool -pipeline):

-
-

We fit a model to each imputed dataset, derive a response variable on -the CHG score, extract marginal effects or other statistics of interest, -and combine the results into a single inference using Rubin’s combining -rules.

-
-
-
-
-

Step 1: Setup and Data Preparation -

- -
-set.seed(1974)
-
-data("ADEFF")
-
-ADEFF <- ADEFF %>%
-  mutate(
-    TRT = factor(TRT01P, levels = c("Placebo", "Drug A")),
-    USUBJID = factor(USUBJID),
-    AVISIT = factor(AVISIT)
-  )
-
-
-

Step 2: Define Imputation Model -

-

We use rbmi::set_vars() -to specify the key variable roles:

-
-vars <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CHG",
-  covariates = c("BASE", "STRATA", "REGION")
-)
-
-method <- method_bayes(
-  n_samples = 100,
-  control = control_bayes(warmup = 200, thin = 2)
-)
-
-dat <- ADEFF %>%
-  select(USUBJID, STRATA, REGION, REGIONC, TRT, BASE, CHG, AVISIT)
-
-draws_obj <- draws(data = dat, vars = vars, method = method)
-#> Running /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/bin/R \
-#>   CMD SHLIB foo.c
-#> using C compiler: ‘Apple clang version 17.0.0 (clang-1700.6.3.2)’
-#> using SDK: ‘MacOSX26.2.sdk’
-#> clang -arch arm64 -I"/Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/include" -DNDEBUG   -I"/Users/bailliem/Library/R/arm64/4.4/library/Rcpp/include/"  -I"/Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/"  -I"/Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/unsupported"  -I"/Users/bailliem/Library/R/arm64/4.4/library/BH/include" -I"/Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/src/"  -I"/Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/"  -I"/Users/bailliem/Library/R/arm64/4.4/library/RcppParallel/include/"  -I"/Users/bailliem/Library/R/arm64/4.4/library/rstan/include" -DEIGEN_NO_DEBUG  -DBOOST_DISABLE_ASSERTS  -DBOOST_PENDING_INTEGER_LOG2_HPP  -DSTAN_THREADS  -DUSE_STANC3 -DSTRICT_R_HEADERS  -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION  -D_HAS_AUTO_PTR_ETC=0  -include '/Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp'  -D_REENTRANT -DRCPP_PARALLEL_USE_TBB=1   -I/opt/R/arm64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c foo.c -o foo.o
-#> In file included from <built-in>:1:
-#> In file included from /Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22:
-#> In file included from /Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/Eigen/Dense:1:
-#> In file included from /Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/Eigen/Core:19:
-#> /Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:679:10: fatal error: 'cmath' file not found
-#>   679 | #include <cmath>
-#>       |          ^~~~~~~
-#> 1 error generated.
-#> make: *** [foo.o] Error 1
-#> 
-#> SAMPLING FOR MODEL 'rbmi_MMRM_us_default' NOW (CHAIN 1).
-#> Chain 1: 
-#> Chain 1: Gradient evaluation took 0.000251 seconds
-#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.51 seconds.
-#> Chain 1: Adjust your expectations accordingly!
-#> Chain 1: 
-#> Chain 1: 
-#> Chain 1: Iteration:   1 / 400 [  0%]  (Warmup)
-#> Chain 1: Iteration:  40 / 400 [ 10%]  (Warmup)
-#> Chain 1: Iteration:  80 / 400 [ 20%]  (Warmup)
-#> Chain 1: Iteration: 120 / 400 [ 30%]  (Warmup)
-#> Chain 1: Iteration: 160 / 400 [ 40%]  (Warmup)
-#> Chain 1: Iteration: 200 / 400 [ 50%]  (Warmup)
-#> Chain 1: Iteration: 201 / 400 [ 50%]  (Sampling)
-#> Chain 1: Iteration: 240 / 400 [ 60%]  (Sampling)
-#> Chain 1: Iteration: 280 / 400 [ 70%]  (Sampling)
-#> Chain 1: Iteration: 320 / 400 [ 80%]  (Sampling)
-#> Chain 1: Iteration: 360 / 400 [ 90%]  (Sampling)
-#> Chain 1: Iteration: 400 / 400 [100%]  (Sampling)
-#> Chain 1: 
-#> Chain 1:  Elapsed Time: 0.324 seconds (Warm-up)
-#> Chain 1:                0.279 seconds (Sampling)
-#> Chain 1:                0.603 seconds (Total)
-#> Chain 1:
-
-impute_obj <- impute(draws_obj, references = c("Placebo" = "Placebo", "Drug A" = "Placebo"))
-
-ADMI <- get_imputed_data(impute_obj)
-
-
-

Step 3: Add Responder Variables -

-
-ADMI <- ADMI %>%
-  mutate(
-    CRIT1FLN = ifelse(CHG > 3, 1, 0),
-    CRIT1FL = ifelse(CRIT1FLN == 1, "Y", "N"),
-    CRIT = "CHG > 3"
-  )
-
-
-

Step 4: Continuous Endpoint Analysis (CHG) -

-
-ana_obj_ancova <- analyse_mi_data(
-  data = ADMI,
-  vars = vars,
-  method = method,
-  fun = ancova
-)
-
-pool_obj_ancova <- pool(ana_obj_ancova)
-print(pool_obj_ancova)
-#>        parameter   visit   est   lci   uci    pval
-#>      trt_Week 24 Week 24 -2.18 -2.53 -1.82 < 0.001
-#>  lsm_ref_Week 24 Week 24  0.08 -0.18  0.33   0.560
-#>  lsm_alt_Week 24 Week 24 -2.10 -2.35 -1.85 < 0.001
-#>      trt_Week 48 Week 48 -3.81 -4.31 -3.30 < 0.001
-#>  lsm_ref_Week 48 Week 48  0.04 -0.32  0.41   0.814
-#>  lsm_alt_Week 48 Week 48 -3.76 -4.11 -3.42 < 0.001
-
-tidy_pool_obj(pool_obj_ancova)
-#> # A tibble: 6 × 10
-#>   parameter       description visit parameter_type lsm_type     est    se    lci
-#>   <chr>           <chr>       <chr> <chr>          <chr>      <dbl> <dbl>  <dbl>
-#> 1 trt_Week 24     Treatment … Week… trt            NA       -2.18   0.182 -2.53 
-#> 2 lsm_ref_Week 24 Least Squa… Week… lsm            ref       0.0764 0.131 -0.181
-#> 3 lsm_alt_Week 24 Least Squa… Week… lsm            alt      -2.10   0.125 -2.35 
-#> 4 trt_Week 48     Treatment … Week… trt            NA       -3.81   0.256 -4.31 
-#> 5 lsm_ref_Week 48 Least Squa… Week… lsm            ref       0.0436 0.185 -0.320
-#> 6 lsm_alt_Week 48 Least Squa… Week… lsm            alt      -3.76   0.175 -4.11 
-#> # ℹ 2 more variables: uci <dbl>, pval <dbl>
-
-
-

Step 5: Responder Endpoint Analysis (CRIT1FLN) -

-
-

Define Analysis Function -

-

We use beeca::get_marginal_effect() -for robust variance estimation of marginal treatment effects from the -logistic model:

-
-gcomp_responder <- function(data, ...) {
-  model <- glm(CRIT1FLN ~ TRT + BASE + STRATA + REGION, data = data, family = binomial)
-
-  marginal_fit <- get_marginal_effect(
-    model,
-    trt = "TRT",
-    method = "Ge",
-    type = "HC0",
-    contrast = "diff",
-    reference = "Placebo"
-  )
-
-  res <- marginal_fit$marginal_results
-  list(
-    trt = list(
-      est = res[res$STAT == "diff", "STATVAL"][[1]],
-      se = res[res$STAT == "diff_se", "STATVAL"][[1]],
-      df = NA
-    )
-  )
-}
-
-
-

Define Variables and Run Analysis -

-
-vars_binary <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CRIT1FLN",
-  covariates = c("BASE", "STRATA", "REGION")
-)
-
-ana_obj_prop <- analyse_mi_data(
-  data = ADMI,
-  vars = vars_binary,
-  method = method,
-  fun = gcomp_responder
-)
-
-pool_obj_prop <- pool(ana_obj_prop)
-print(pool_obj_prop)
-#>  parameter visit   est   lci   uci    pval
-#>        trt  <NA> -0.06 -0.09 -0.04 < 0.001
-
-
-
-

Final Notes -

-
    -
  • The ADMI object can be saved for later reuse
    • -
  • Analyses can be modularly applied using custom functions
    • -
  • The tidy output from tidy_pool_obj() is helpful for -reporting and review
    • -
-
-

Efficient Storage -

-

When working with many imputations, consider using -reduce_imputed_data() to store only the imputed values:

-
-# Reduce for efficient storage
-reduced <- reduce_imputed_data(ADMI, ADEFF, vars)
-
-# Later, expand back for analysis
-ADMI_restored <- expand_imputed_data(reduced, ADEFF, vars)
-

See the Efficient Storage -vignette for details.

-
-
-

See Also -

-

For a guided tutorial walking through the complete pipeline from raw -data to regulatory tables, see vignette('pipeline').

-
-
-
-
- - - -
-

Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

-
- -
-

Site built with pkgdown 2.1.1. Part of openpharma

-
- -
-
- - - - - - - diff --git a/docs/articles/data-preparation.html b/docs/articles/data-preparation.html deleted file mode 100644 index 0d936f5..0000000 --- a/docs/articles/data-preparation.html +++ /dev/null @@ -1,429 +0,0 @@ - - - - - - - -Data Preparation and Validation • rbmiUtils - - - - - - - - - - - - - - Skip to contents - - -
- - - - -
-
-

Data Preparation and Validation

- -

2026-02-16

- - Source: vignettes/data-preparation.Rmd -
data-preparation.Rmd
-
- - - -
-

Introduction -

-

This vignette demonstrates how to prepare and validate data before -running multiple imputation with {rbmi}. -The rbmiUtils package provides three key functions for -this workflow:

- -

Using these functions helps ensure your imputation will run -successfully and gives you insight into the structure of your missing -data.

-
-
-

Setup -

- -
-
-

Example Data -

-

We’ll create a small example dataset to demonstrate the -functions:

-
-set.seed(42)
-
-dat <- data.frame(
- USUBJID = factor(rep(paste0("SUBJ-", 1:20), each = 4)),
- AVISIT = factor(
-   rep(c("Week 4", "Week 8", "Week 12", "Week 16"), 20),
-   levels = c("Week 4", "Week 8", "Week 12", "Week 16")
- ),
- TRT = factor(rep(c("Placebo", "Drug A"), each = 40)),
- BASE = rep(round(rnorm(20, 50, 10), 1), each = 4),
- STRATA = factor(rep(sample(c("Low", "High"), 20, replace = TRUE), each = 4))
-)
-
-# Generate CHG with some missing values
-dat$CHG <- round(rnorm(80, mean = -2, sd = 3), 1)
-
-# Create missing data patterns:
-# - Subjects 3, 8: monotone dropout at Week 12
-# - Subject 15: intermittent missing at Week 8
-# - Subject 18: monotone dropout at Week 16
-dat$CHG[dat$USUBJID == "SUBJ-3" & dat$AVISIT %in% c("Week 12", "Week 16")] <- NA
-dat$CHG[dat$USUBJID == "SUBJ-8" & dat$AVISIT %in% c("Week 12", "Week 16")] <- NA
-dat$CHG[dat$USUBJID == "SUBJ-15" & dat$AVISIT == "Week 8"] <- NA
-dat$CHG[dat$USUBJID == "SUBJ-18" & dat$AVISIT == "Week 16"] <- NA
-
-# Add discontinuation flag
-dat$DISCFL <- ifelse(
- dat$USUBJID %in% c("SUBJ-3", "SUBJ-8") & dat$AVISIT == "Week 12",
- "Y",
- ifelse(
-   dat$USUBJID == "SUBJ-18" & dat$AVISIT == "Week 16",
-   "Y",
-   "N"
- )
-)
-
-head(dat, 12)
-#>    USUBJID  AVISIT     TRT BASE STRATA  CHG DISCFL
-#> 1   SUBJ-1  Week 4 Placebo 63.7    Low -0.6      N
-#> 2   SUBJ-1  Week 8 Placebo 63.7    Low  0.1      N
-#> 3   SUBJ-1 Week 12 Placebo 63.7    Low  1.1      N
-#> 4   SUBJ-1 Week 16 Placebo 63.7    Low -3.8      N
-#> 5   SUBJ-2  Week 4 Placebo 44.4    Low -0.5      N
-#> 6   SUBJ-2  Week 8 Placebo 44.4    Low -7.2      N
-#> 7   SUBJ-2 Week 12 Placebo 44.4    Low -4.4      N
-#> 8   SUBJ-2 Week 16 Placebo 44.4    Low -4.6      N
-#> 9   SUBJ-3  Week 4 Placebo 53.6   High -9.2      N
-#> 10  SUBJ-3  Week 8 Placebo 53.6   High -1.9      N
-#> 11  SUBJ-3 Week 12 Placebo 53.6   High   NA      Y
-#> 12  SUBJ-3 Week 16 Placebo 53.6   High   NA      N
-
-
-

Define Variables -

-
-vars <- set_vars(
- subjid = "USUBJID",
- visit = "AVISIT",
- group = "TRT",
- outcome = "CHG",
- covariates = c("BASE", "STRATA"),
- strategy = "STRATEGY"
-)
-
-
-

Validating Data -

-

The validate_data() function performs comprehensive -checks on your data before imputation:

-
-# This will pass validation
-validate_data(dat, vars)
-

The function checks:

-
    -
  • Data is a data.frame
    • -
  • All required columns exist (subjid, visit, group, outcome, -covariates)
    • -
  • Factor columns are properly typed
    • -
  • Outcome column is numeric
    • -
  • Covariates have no missing values
    • -
  • No duplicate subject-visit combinations
    • -
  • If data_ice is provided: valid subjects, visits, and -strategies
    • -
-
-

Catching Validation Errors -

-

Here’s an example of how validation catches issues:

-
-# Create problematic data
-bad_dat <- dat
-bad_dat$TRT <- as.character(bad_dat$TRT)  # Should be factor
-bad_dat$BASE[1] <- NA  # Covariate with missing value
-
-# This will report all issues at once
-tryCatch(
- validate_data(bad_dat, vars),
- error = function(e) cat(e$message)
-)
-#> Warning: 1 column is character instead of factor.
-#> ℹ Column: TRT.
-#> ℹ `rbmi::draws()` will auto-coerce, but explicit conversion gives you control
-#>   over level ordering.
-#> ℹ Example: `data$TRT <- factor(data$TRT)`
-#> Data validation failed.
-
-
-
-

Summarising Missing Data -

-

Before imputation, it’s important to understand your missing data -patterns:

-
-miss <- summarise_missingness(dat, vars)
-
-

Missing by Visit -

-
-print(miss$by_visit)
-#> # A tibble: 8 × 5
-#>   visit   group       n n_miss pct_miss
-#>   <fct>   <fct>   <int>  <int>    <dbl>
-#> 1 Week 4  Drug A     10      0        0
-#> 2 Week 4  Placebo    10      0        0
-#> 3 Week 8  Drug A     10      1       10
-#> 4 Week 8  Placebo    10      0        0
-#> 5 Week 12 Drug A     10      0        0
-#> 6 Week 12 Placebo    10      2       20
-#> 7 Week 16 Drug A     10      1       10
-#> 8 Week 16 Placebo    10      2       20
-
-
-

Subject Patterns -

-
-print(miss$patterns)
-#> # A tibble: 20 × 4
-#>    USUBJID TRT     pattern      dropout_visit
-#>    <fct>   <chr>   <chr>        <chr>        
-#>  1 SUBJ-1  Placebo complete     NA           
-#>  2 SUBJ-2  Placebo complete     NA           
-#>  3 SUBJ-3  Placebo monotone     Week 12      
-#>  4 SUBJ-4  Placebo complete     NA           
-#>  5 SUBJ-5  Placebo complete     NA           
-#>  6 SUBJ-6  Placebo complete     NA           
-#>  7 SUBJ-7  Placebo complete     NA           
-#>  8 SUBJ-8  Placebo monotone     Week 12      
-#>  9 SUBJ-9  Placebo complete     NA           
-#> 10 SUBJ-10 Placebo complete     NA           
-#> 11 SUBJ-11 Drug A  complete     NA           
-#> 12 SUBJ-12 Drug A  complete     NA           
-#> 13 SUBJ-13 Drug A  complete     NA           
-#> 14 SUBJ-14 Drug A  complete     NA           
-#> 15 SUBJ-15 Drug A  intermittent NA           
-#> 16 SUBJ-16 Drug A  complete     NA           
-#> 17 SUBJ-17 Drug A  complete     NA           
-#> 18 SUBJ-18 Drug A  monotone     Week 16      
-#> 19 SUBJ-19 Drug A  complete     NA           
-#> 20 SUBJ-20 Drug A  complete     NA
-
-
-

Summary by Treatment Group -

-
-print(miss$summary)
-#> # A tibble: 2 × 5
-#>   group   n_subjects n_complete n_monotone n_intermittent
-#>   <chr>        <int>      <int>      <int>          <int>
-#> 1 Drug A          10          8          1              1
-#> 2 Placebo         10          8          2              0
-

The three pattern types are:

-
    -
  • -complete: No missing outcome values
    • -
  • -monotone: Once a value is missing, all subsequent -visits are also missing (dropout)
    • -
  • -intermittent: Missing values with observed values -both before and after
    • -
-
-
-
-

Preparing ICE Data -

-

When subjects discontinue treatment, you may want to apply -reference-based imputation strategies (see the {rbmi} -documentation for details on intercurrent event handling). The -prepare_data_ice() function builds the required -data_ice data.frame from a discontinuation flag:

-
-data_ice <- prepare_data_ice(
- data = dat,
- vars = vars,
- ice_col = "DISCFL",
- strategy = "JR"  # Jump to Reference
-)
-
-print(data_ice)
-#>   USUBJID  AVISIT STRATEGY
-#> 1 SUBJ-18 Week 16       JR
-#> 2  SUBJ-3 Week 12       JR
-#> 3  SUBJ-8 Week 12       JR
-

The function:

-
    -
  • Identifies subjects with ICE flags ("Y", -TRUE, or 1)
    • -
  • Takes the first flagged visit per subject
    • -
  • Assigns the specified imputation strategy
    • -
-

Available strategies are:

-
    -
  • -"MAR": Missing at Random
    • -
  • -"CR": Copy Reference
    • -
  • -"JR": Jump to Reference
    • -
  • -"CIR": Copy Increment from Reference
    • -
  • -"LMCF": Last Mean Carried Forward
    • -
-
-
-

Complete Workflow -

-

Here’s how these functions fit into a typical {rbmi} -workflow:

-
-library(rbmi)
-library(rbmiUtils)
-
-# 1. Validate data
-validate_data(dat, vars)
-
-# 2. Understand missing patterns
-miss <- summarise_missingness(dat, vars)
-print(miss$summary)
-
-# 3. Prepare ICE data if needed
-data_ice <- prepare_data_ice(dat, vars, ice_col = "DISCFL", strategy = "JR")
-
-# 4. Define method
-method <- method_bayes(
- n_samples = 100,
- control = control_bayes(warmup = 200, thin = 2)
-)
-
-# 5. Run imputation
-draws_obj <- draws(
- data = dat,
- vars = vars,
- data_ice = data_ice,
- method = method
-)
-
-# 6. Continue with impute() and analyse()
-
-
-

Summary -

-

The data preparation functions in rbmiUtils help -you:

-
    -
  1. -Catch issues early with -validate_data() before running time-consuming -imputations
    2. -
  2. -Understand your data with -summarise_missingness() to characterize missing data -patterns
    3. -
  3. -Simplify ICE handling with -prepare_data_ice() to build data_ice from flag -columns
    4. -
-

These utilities complement the core {rbmi} -package and support reproducible, well-documented analysis -workflows.

-

After data preparation, see vignette('pipeline') for the -complete analysis workflow from imputation through to regulatory -tables.

-
-
-
- - - -
-

Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

-
- -
-

Site built with pkgdown 2.1.1. Part of openpharma

-
- -
-
- - - - - - - diff --git a/docs/articles/diagnostics.html b/docs/articles/diagnostics.html deleted file mode 100644 index faeea49..0000000 --- a/docs/articles/diagnostics.html +++ /dev/null @@ -1,369 +0,0 @@ - - - - - - - -MI Diagnostics and Pipeline Inspection • rbmiUtils - - - - - - - - - - - - - - Skip to contents - - -
- - - - -
-
- -

MI Diagnostics and Pipeline Inspection

- -

2026-02-11

- - Source: vignettes/diagnostics.Rmd -
diagnostics.Rmd
-
- - - -
-

Introduction -

-

The rbmi multiple imputation pipeline produces several intermediate -objects – draws, imputation, analysis, and pool – each containing useful -metadata about the imputation model and results. -rbmiUtils v0.3.0 adds tools to inspect these objects -and extract diagnostic statistics, making it easier to verify that the -MI pipeline behaved as expected.

-

This vignette covers three features:

-
    -
  • -describe_draws(): structured metadata from draws -objects (method, formula, samples, MCMC convergence)
    • -
  • -describe_imputation(): structured metadata from -imputation objects (method, M, references, missingness breakdown)
    • -
  • -pool_to_ard() MI diagnostic enrichment: fraction of -missing information (FMI), lambda, relative increase in variance (RIV), -and other Rubin’s rules diagnostics embedded in the ARD output
    • -
-
-
-

Setup -

-

We load the required packages and prepare data for the -pool_to_ard() diagnostic enrichment examples in Section 5. -This setup uses analyse_mi_data() which works directly with -the pre-imputed ADMI dataset (containing an -IMPID column), so there is no need for draws() -or impute().

-
-library(rbmiUtils)
-library(rbmi)
-library(dplyr)
-
-data("ADMI", package = "rbmiUtils")
-ADMI <- ADMI |>
-  mutate(
-    TRT = factor(TRT, levels = c("Placebo", "Drug A")),
-    USUBJID = factor(USUBJID),
-    AVISIT = factor(AVISIT)
-  )
-
-vars <- set_vars(
-  subjid = "USUBJID", visit = "AVISIT", group = "TRT",
-  outcome = "CHG", covariates = c("BASE", "STRATA", "REGION")
-)
-method <- method_bayes(
-  n_samples = 100,
-  control = control_bayes(warmup = 200, thin = 5)
-)
-
-ana_obj <- analyse_mi_data(ADMI, vars, method, fun = ancova)
-pool_obj <- pool(ana_obj)
-
-
-

Inspecting Draws with describe_draws() -

-

The describe_draws() function extracts structured -metadata from an rbmi draws object, providing a quick -summary of the imputation model configuration and, for Bayesian methods, -MCMC convergence diagnostics.

-

The code below uses ADEFF data and defines its own -vars and method objects. We use -eval = FALSE because draws() runs MCMC -sampling, which is too slow for vignette builds.

-
-data("ADEFF", package = "rbmiUtils")
-ADEFF <- ADEFF |>
-  mutate(
-    TRT = factor(TRT01P, levels = c("Placebo", "Drug A")),
-    USUBJID = factor(USUBJID),
-    AVISIT = factor(AVISIT, levels = c("Week 24", "Week 48"))
-  )
-
-vars <- set_vars(
-  subjid = "USUBJID", visit = "AVISIT", group = "TRT",
-  outcome = "CHG", covariates = c("BASE", "STRATA", "REGION")
-)
-method <- method_bayes(
-  n_samples = 100,
-  control = control_bayes(warmup = 200, thin = 2)
-)
-
-dat <- ADEFF |> select(USUBJID, STRATA, REGION, TRT, BASE, CHG, AVISIT)
-draws_obj <- draws(data = dat, vars = vars, method = method)
-desc <- describe_draws(draws_obj)
-print(desc)
-

Example output from describe_draws():

-
-- Draws Summary --
-Method: Bayesian (MCMC via Stan)
-Formula: CHG ~ 1 + BASE + STRATA + REGION + TRT + AVISIT + TRT:AVISIT
-Samples: 100
-Failures: 0
-Covariance: us
-Same covariance across groups: Yes
---
--- MCMC Convergence --
-v All Rhat < 1.1 (42 parameters)
-Max Rhat: 1.003
-Min ESS: 245.2
-

The returned object is a list with programmatic access to all -fields:

-
    -
  • -$method – human-readable method name (e.g., “Bayesian -(MCMC via Stan)”)
    • -
  • -$method_class – raw class: "bayes", -"approxbayes", or "condmean" -
    • -
  • -$formula – the deparsed model formula string
    • -
  • -$n_samples – total number of samples drawn
    • -
  • -$n_failures – number of failed samples
    • -
  • -$mcmc – (Bayesian only) list with rhat, -ess, max_rhat, min_ess, -n_params, converged -
    • -
-
-
-

Inspecting Imputations with describe_imputation() -

-

The describe_imputation() function extracts metadata -from an rbmi imputation object, including the method, -number of imputations (M), reference arm mappings, and a missingness -breakdown by visit and treatment arm.

-

This section continues from the draws_obj created in the -code above (Section 3). Again, we use eval = FALSE because -the pipeline requires MCMC.

-
-impute_obj <- impute(
-  draws_obj,
-  references = c("Placebo" = "Placebo", "Drug A" = "Placebo")
-)
-desc <- describe_imputation(impute_obj)
-print(desc)
-

Example output from describe_imputation():

-
-- Imputation Summary --
-Method: Bayesian (MCMC via Stan)
-Imputations (M): 100
-Subjects: 200
---
--- References --
-Placebo -> Placebo
-Drug A -> Placebo
--- Missingness by Visit and Arm --
-    visit   group n_total n_miss pct_miss
-  Week 24 Placebo     100      8      8.0
-  Week 24  Drug A     100     10     10.0
-  Week 48 Placebo     100     15     15.0
-  Week 48  Drug A     100     18     18.0
-

The returned object provides programmatic access to:

-
    -
  • -$method – human-readable method name
    • -
  • -$n_imputations – number of imputations (M)
    • -
  • -$n_subjects – total number of unique subjects
    • -
  • -$references – named character vector of reference arm -mappings (or NULL)
    • -
  • -$missingness – a data.frame with columns -visit, group, n_total, -n_miss, pct_miss -
    • -
-
-
-

MI Diagnostic Statistics in ARD -

-

The pool_to_ard() function converts a pool object to the -pharmaverse Analysis Results Dataset (ARD) format. When you also pass -the analysis_obj, it enriches the ARD with MI diagnostic -statistics computed from Rubin’s rules.

-
-# Base ARD (no diagnostics)
-ard <- pool_to_ard(pool_obj)
-
-# Enriched ARD with MI diagnostics
-ard_enriched <- pool_to_ard(pool_obj, analysis_obj = ana_obj)
-

The enriched ARD includes additional rows for each parameter with -diagnostic statistics. We can filter and display them:

-
-ard_enriched |>
-  dplyr::filter(stat_name %in% c("fmi", "lambda", "riv", "df.adjusted", "re")) |>
-  dplyr::select(group1_level, variable_level, stat_name, stat)
-#> {cards} data frame: 30 x 4
-#>    group1_level variable_level   stat_name    stat
-#> 1       Week 24             NA         fmi   0.023
-#> 2       Week 24             NA      lambda   0.019
-#> 3       Week 24             NA         riv   0.019
-#> 4       Week 24             NA df.adjusted 480.772
-#> 5       Week 24             NA          re       1
-#> 6       Week 24             NA         fmi   0.021
-#> 7       Week 24             NA      lambda   0.017
-#> 8       Week 24             NA         riv   0.018
-#> 9       Week 24             NA df.adjusted 481.809
-#> 10      Week 24             NA          re       1
-#> ℹ 20 more rows
-#> ℹ Use `print(n = ...)` to see more rows
-

Each diagnostic statistic has a specific interpretation:

-
    -
  • -FMI (fraction of missing information) – the -adjusted proportion of total sampling variance attributable to missing -data, following the mice convention: -(riv + 2/(df + 3)) / (1 + riv) -
    • -
  • -lambda – the proportion of total variance due to -between-imputation variance (missingness)
    • -
  • -RIV (relative increase in variance) – the ratio of -between-imputation variance to within-imputation variance, scaled by -(1 + 1/M) -
    • -
  • -df.adjusted – Barnard-Rubin adjusted degrees of -freedom, which accounts for finite complete-data degrees of freedom
    • -
  • -re (relative efficiency) – -1 / (1 + fmi/M), the efficiency of the MI estimator -relative to an estimator with infinite imputations
    • -
-
-
-

When Diagnostics Are Not Available -

-

Non-Rubin pooling methods (e.g., conditional mean with jackknife) do -not produce MI diagnostic statistics because the variance decomposition -does not apply. When pool_to_ard() is called with an -analysis_obj from a non-Rubin method, it emits an -informative message and omits diagnostic rows from the ARD.

-

The describe_draws() and -describe_imputation() functions work with all method types -(Bayesian, approximate Bayesian, and conditional mean).

-
-
-

Learn More -

- -
-
-
- - - -
-

Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

-
- -
-

Site built with pkgdown 2.1.1. Part of openpharma

-
- -
-
- - - - - - - diff --git a/docs/articles/efficient-storage.html b/docs/articles/efficient-storage.html deleted file mode 100644 index 1c0f4ef..0000000 --- a/docs/articles/efficient-storage.html +++ /dev/null @@ -1,438 +0,0 @@ - - - - - - - -Efficient Storage of Imputed Data • rbmiUtils - - - - - - - - - - - - - - Skip to contents - - -
- - - - -
-
- -

Efficient Storage of Imputed Data

- -

2026-02-11

- - Source: vignettes/efficient-storage.Rmd -
efficient-storage.Rmd
-
- - - -
-

Introduction -

-

When performing multiple imputation with {rbmi} -using many imputations (e.g., 100-1000), the full imputed dataset can -become very large. However, most of this data is redundant: observed -values are identical across all imputations.

-

The rbmiUtils package provides two functions to -address this:

- -

This approach can reduce storage requirements by 90% or more, -depending on the proportion of missing data.

-
-
-

The Storage Problem -

-

Consider a typical clinical trial dataset:

-
    -
  • 500 subjects
    • -
  • 5 visits per subject = 2,500 rows
    • -
  • 5% missing data = 125 missing values
    • -
  • 1,000 imputations
    • -
-

Full storage: 2,500 rows × 1,000 imputations = -2.5 million rows

-

Reduced storage: 125 missing values × 1,000 -imputations = 125,000 rows (5% of full size)

-
-
-

Setup -

- -
-
-

Example with Package Data -

-

The rbmiUtils package includes example datasets we can -use:

-
-data("ADMI", package = "rbmiUtils")  # Full imputed dataset
-data("ADEFF", package = "rbmiUtils") # Original data with missing values
-
-# Check dimensions
-cat("Full imputed dataset (ADMI):", nrow(ADMI), "rows\n")
-#> Full imputed dataset (ADMI): 100000 rows
-cat("Number of imputations:", length(unique(ADMI$IMPID)), "\n")
-#> Number of imputations: 100
-
-
-

Reducing Imputed Data -

-

First, prepare the original data to match the imputed data -structure:

-
-original <- ADEFF |>
- mutate(
-   TRT = TRT01P,
-   USUBJID = as.character(USUBJID)
- )
-
-# Count missing values
-n_missing <- sum(is.na(original$CHG))
-cat("Missing values in original data:", n_missing, "\n")
-#> Missing values in original data: 44
-

Define the variables specification:

-
-vars <- set_vars(
- subjid = "USUBJID",
- visit = "AVISIT",
- group = "TRT",
- outcome = "CHG"
-)
-

Now reduce the imputed data:

-
-reduced <- reduce_imputed_data(ADMI, original, vars)
-
-cat("Full imputed rows:", nrow(ADMI), "\n")
-#> Full imputed rows: 100000
-cat("Reduced rows:", nrow(reduced), "\n")
-#> Reduced rows: 4400
-cat("Compression ratio:", round(100 * nrow(reduced) / nrow(ADMI), 1), "%\n")
-#> Compression ratio: 4.4 %
-
-
-

What’s in the Reduced Data? -

-

The reduced dataset contains only the rows that were originally -missing:

-
-# First few rows
-head(reduced)
-#> # A tibble: 6 × 12
-#>   IMPID STRATA REGION  REGIONC TRT    BASE   CHG AVISIT USUBJID CRIT1FLN CRIT1FL
-#>   <dbl> <chr>  <chr>     <dbl> <chr> <dbl> <dbl> <chr>  <chr>      <dbl> <chr>  
-#> 1     1 A      North …       1 Plac…    12 -1.96 Week … ID011          0 N      
-#> 2     1 A      Europe        3 Drug…     3 -3.71 Week … ID014          0 N      
-#> 3     1 B      Europe        3 Drug…     9 -1.96 Week … ID018          0 N      
-#> 4     1 A      Asia          4 Drug…    10 -5.55 Week … ID033          0 N      
-#> 5     1 A      Asia          4 Drug…     0 -1.28 Week … ID061          0 N      
-#> 6     1 A      South …       2 Plac…     5 -2.60 Week … ID071          0 N      
-#> # ℹ 1 more variable: CRIT <chr>
-
-# Structure matches original imputed data
-cat("\nColumns in reduced data:\n")
-#> 
-#> Columns in reduced data:
-cat(paste(names(reduced), collapse = ", "))
-#> IMPID, STRATA, REGION, REGIONC, TRT, BASE, CHG, AVISIT, USUBJID, CRIT1FLN, CRIT1FL, CRIT
-

Each row represents an imputed value for a specific -subject-visit-imputation combination.

-
-
-

Expanding Back to Full Data -

-

When you need to run analyses, expand the reduced data back to full -form:

-
-expanded <- expand_imputed_data(reduced, original, vars)
-
-cat("Expanded rows:", nrow(expanded), "\n")
-#> Expanded rows: 100000
-cat("Original ADMI rows:", nrow(ADMI), "\n")
-#> Original ADMI rows: 100000
-
-
-

Verifying Data Integrity -

-

Let’s verify that the round-trip preserves data integrity:

-
-# Sort both datasets for comparison
-admi_sorted <- ADMI |>
- arrange(IMPID, USUBJID, AVISIT)
-
-expanded_sorted <- expanded |>
- arrange(IMPID, USUBJID, AVISIT)
-
-# Compare CHG values
-all_equal <- all.equal(
- admi_sorted$CHG,
- expanded_sorted$CHG,
- tolerance = 1e-10
-)
-
-cat("Data integrity check:", all_equal, "\n")
-#> Data integrity check: TRUE
-
-
-

Practical Workflow -

-

Here’s how to integrate efficient storage into your workflow:

-
-

Save Reduced Data -

-
-# After imputation
-impute_obj <- impute(draws_obj, references = c("Placebo" = "Placebo", "Drug A" = "Placebo"))
-full_imputed <- get_imputed_data(impute_obj)
-
-# Reduce for storage
-reduced <- reduce_imputed_data(full_imputed, original_data, vars)
-
-# Save both (reduced is much smaller)
-saveRDS(reduced, "imputed_reduced.rds")
-saveRDS(original_data, "original_data.rds")
-
-
-

Load and Analyse -

-
-# Load saved data
-reduced <- readRDS("imputed_reduced.rds")
-original_data <- readRDS("original_data.rds")
-
-# Expand when needed for analysis
-full_imputed <- expand_imputed_data(reduced, original_data, vars)
-
-# Run analysis
-ana_obj <- analyse_mi_data(
- data = full_imputed,
- vars = vars,
- method = method,
- fun = ancova
-)
-
-
-
-

Storage Comparison -

-

Here’s a comparison of storage requirements for different -scenarios:

- --------- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
SubjectsVisitsMissing %ImputationsFull RowsReduced RowsSavings
50055%100250,00012,50095%
50055%1,0002,500,000125,00095%
1,000810%5004,000,000400,00090%
200420%1,000800,000160,00080%
-

The savings scale with:

-
    -
  • -Lower missing % = greater savings
    • -
  • -More imputations = same relative savings, but more -absolute reduction
    • -
-
-
-

When to Use This Approach -

-

Use reduced storage when:

-
    -
  • Running many imputations (100+)
    • -
  • Saving imputed data for later analysis
    • -
  • Sharing data between team members
    • -
  • Working with memory constraints
    • -
-

Keep full data when:

-
    -
  • Working interactively with few imputations
    • -
  • Performing exploratory analysis
    • -
  • Storage is not a concern
    • -
-
-
-

Edge Cases -

-
-

No Missing Data -

-

If the original data has no missing values, -reduce_imputed_data() returns an empty data.frame:

-
-# If original has no missing values
-reduced <- reduce_imputed_data(full_imputed, complete_data, vars)
-nrow(reduced)
-#> [1] 0
-
-# expand_imputed_data handles this correctly
-expanded <- expand_imputed_data(reduced, complete_data, vars)
-# Returns original data with IMPID = "1"
-
-
-

Single Imputation -

-

The functions work with any number of imputations, including just -one.

-
-
-
-

Summary -

-

The reduce_imputed_data() and -expand_imputed_data() functions provide an efficient way to -store imputed datasets:

-
    -
  1. -Reduce after imputation to store only what’s -necessary
    2. -
  2. -Expand before analysis to reconstruct full -datasets
    3. -
  3. -Verify data integrity is preserved through -round-trip
    4. -
-

This approach is particularly valuable when working with large -numbers of imputations or when storage and memory are constrained.

-

For the complete analysis workflow using imputed data, see -vignette('pipeline').

-
-
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- - - -
-

Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

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-

Site built with pkgdown 2.1.1. Part of openpharma

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Articles

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- -
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All vignettes

-
- -
Storing and Analyzing Imputed Data with rbmiUtils
-
-
Data Preparation and Validation
-
-
Deriving Endpoints from Imputed Data
-
-
MI Diagnostics and Pipeline Inspection
-
-
Efficient Storage of Imputed Data
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From rbmi Analysis to Regulatory Tables
-
-
-
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-

Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

-
- -
-

Site built with pkgdown 2.1.1. Part of openpharma

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- - - - - - - diff --git a/docs/articles/pipeline.html b/docs/articles/pipeline.html deleted file mode 100644 index 7deb65a..0000000 --- a/docs/articles/pipeline.html +++ /dev/null @@ -1,2181 +0,0 @@ - - - - - - - -From rbmi Analysis to Regulatory Tables • rbmiUtils - - - - - - - - - - - - - - Skip to contents - - -
- - - - -
-
- -

From rbmi Analysis to Regulatory Tables

- -

2026-02-11

- - Source: vignettes/pipeline.Rmd -
pipeline.Rmd
-
- - - -
-

Introduction -

-

Clinical trial analyses that use reference-based multiple imputation -typically involve several steps: fitting an imputation model, generating -imputed datasets, applying an analysis to each dataset, and pooling -results using Rubin’s rules. The rbmi package -implements this pipeline with its draws(), -impute(), analyse(), and pool() -functions. However, turning the pooled results into publication-ready -outputs – formatted tables and forest plots suitable for regulatory -submissions – requires additional work.

-

The rbmiUtils package bridges this gap. It provides -utilities that sit on top of rbmi, transforming pooled analysis objects -into tidy data frames, regulatory-style efficacy tables, and three-panel -forest plots. It also includes data preparation helpers that catch -common issues before the computationally expensive imputation step.

-

In this vignette, you will walk through the complete pipeline from -raw clinical trial data to two publication-ready outputs: an efficacy -summary table and a forest plot. By the end, you will have seen every -major step in a typical rbmi + rbmiUtils workflow. For a more focused -reference on the analysis functions, see the analyse2 vignette. For detailed guidance on -data preparation, see the data -preparation vignette.

-
-
-

Setup and Data -

-

We begin by loading the packages we need. The core pipeline requires -rbmi and rbmiUtils, with -dplyr for data manipulation. The reporting outputs use -gt (for tables) and ggplot2 + -patchwork (for plots), which are optional -dependencies.

- -

The ADEFF dataset bundled with rbmiUtils is a simulated -ADaM-style efficacy dataset from a two-arm clinical trial. It contains -continuous change-from-baseline outcomes (CHG) measured at -two visits (Week 24 and Week 48), with realistic missing data patterns -across 500 subjects.

-
-data("ADEFF", package = "rbmiUtils")
-
-str(ADEFF)
-#> tibble [1,000 × 10] (S3: tbl_df/tbl/data.frame)
-#>  $ USUBJID: chr [1:1000] "ID001" "ID001" "ID002" "ID002" ...
-#>   ..- attr(*, "label")= chr "Unique patient identifier"
-#>  $ STRATA : chr [1:1000] "A" "A" "A" "A" ...
-#>   ..- attr(*, "label")= chr "Stratification at randomisation"
-#>  $ REGION : chr [1:1000] "North America" "North America" "Asia" "Asia" ...
-#>   ..- attr(*, "label")= chr "Stratification by region"
-#>  $ REGIONC: num [1:1000] 1 1 4 4 2 2 3 3 2 2 ...
-#>   ..- attr(*, "label")= chr "Stratification by region, numeric code"
-#>  $ TRT01P : chr [1:1000] "Drug A" "Drug A" "Drug A" "Drug A" ...
-#>   ..- attr(*, "label")= chr "Planned treatment"
-#>  $ BASE   : num [1:1000] 16 16 10 10 12 12 11 11 9 9 ...
-#>   ..- attr(*, "label")= chr "Baseline value of primary outcome variable"
-#>  $ AVISIT : chr [1:1000] "Week 24" "Week 48" "Week 24" "Week 48" ...
-#>   ..- attr(*, "label")= chr "Visit number"
-#>  $ AVAL   : num [1:1000] 12 13 7 5 9 10 9 13 4 0 ...
-#>   ..- attr(*, "label")= chr "Primary outcome variable"
-#>  $ PARAM  : chr [1:1000] "ESSDAI score" "ESSDAI score" "ESSDAI score" "ESSDAI score" ...
-#>   ..- attr(*, "label")= chr "Analysis parameter name"
-#>  $ CHG    : num [1:1000] -4 -3 -3 -5 -3 -2 -2 2 -5 -9 ...
-#>   ..- attr(*, "label")= chr "Change from baseline"
-

Before entering the rbmi pipeline, we convert the key grouping -columns to factors. Factor levels control the ordering of treatment arms -and visits throughout the analysis, so it is important to set them -explicitly.

-
-ADEFF <- ADEFF |>
-  mutate(
-    TRT = factor(TRT01P, levels = c("Placebo", "Drug A")),
-    USUBJID = factor(USUBJID),
-    AVISIT = factor(AVISIT, levels = c("Week 24", "Week 48"))
-  )
-
-
-

Data Preparation -

-

Before running the imputation model, it is worth investing a moment -to validate the data and understand the missing data patterns. These -checks can save considerable time by catching issues before the -computationally intensive draws() step.

-
-

Validation -

-

The validate_data() function performs a comprehensive -set of pre-flight checks: it verifies that all required columns exist, -that factors are properly typed, that the outcome is numeric, that -covariates have no missing values, and that there are no duplicate -subject-visit rows.

-
-vars <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CHG",
-  covariates = c("BASE", "STRATA", "REGION")
-)
-
-validate_data(ADEFF, vars)
-

A successful validation returns TRUE silently. If issues -are found, all problems are reported together in a single error message -so you can fix them in one pass.

-
-
-

Missingness Summary -

-

The summarise_missingness() function characterises the -missing data patterns in your dataset, classifying each subject as -complete, monotone (dropout), or intermittent.

-
-miss <- summarise_missingness(ADEFF, vars)
-print(miss$summary)
-#> # A tibble: 2 × 5
-#>   group   n_subjects n_complete n_monotone n_intermittent
-#>   <chr>        <int>      <int>      <int>          <int>
-#> 1 Drug A         261        239         11             11
-#> 2 Placebo        239        217         16              6
-

This summary helps you decide on an appropriate imputation strategy. -For datasets that require intercurrent event (ICE) handling, rbmiUtils -also provides prepare_data_ice() to build the -data_ice data frame from flag columns – see the data preparation vignette for -details.

-
-
-
-

rbmi Analysis Pipeline -

-

With the data validated, we now run the core rbmi pipeline. This -consists of four steps: specifying the imputation method, fitting the -imputation model, generating imputed datasets, and analysing each -one.

-
-

Specify the Imputation Method -

-

The method_bayes() function configures Bayesian multiple -imputation using MCMC sampling. Here we use a small number of samples -and a short warmup period to keep the vignette build time manageable. In -a real analysis, you would typically use more samples (e.g., -n_samples = 500 or more) for better precision. For details -on the statistical methodology, see the rbmi -quickstart vignette.

-
-set.seed(1974)
-
-method <- method_bayes(
-  n_samples = 100,
-  control = control_bayes(warmup = 200, thin = 2)
-)
-
-
-

Fit the Imputation Model -

-

The draws() function fits the Bayesian imputation model. -This is the most computationally intensive step in the pipeline. We pass -the dataset with only the columns needed for the model.

-
-dat <- ADEFF |>
-  select(USUBJID, STRATA, REGION, TRT, BASE, CHG, AVISIT)
-
-draws_obj <- draws(data = dat, vars = vars, method = method)
-#> Running /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/bin/R \
-#>   CMD SHLIB foo.c
-#> using C compiler: ‘Apple clang version 17.0.0 (clang-1700.6.3.2)’
-#> using SDK: ‘MacOSX26.2.sdk’
-#> clang -arch arm64 -I"/Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/include" -DNDEBUG   -I"/Users/bailliem/Library/R/arm64/4.4/library/Rcpp/include/"  -I"/Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/"  -I"/Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/unsupported"  -I"/Users/bailliem/Library/R/arm64/4.4/library/BH/include" -I"/Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/src/"  -I"/Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/"  -I"/Users/bailliem/Library/R/arm64/4.4/library/RcppParallel/include/"  -I"/Users/bailliem/Library/R/arm64/4.4/library/rstan/include" -DEIGEN_NO_DEBUG  -DBOOST_DISABLE_ASSERTS  -DBOOST_PENDING_INTEGER_LOG2_HPP  -DSTAN_THREADS  -DUSE_STANC3 -DSTRICT_R_HEADERS  -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION  -D_HAS_AUTO_PTR_ETC=0  -include '/Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp'  -D_REENTRANT -DRCPP_PARALLEL_USE_TBB=1   -I/opt/R/arm64/include    -fPIC  -falign-functions=64 -Wall -g -O2  -c foo.c -o foo.o
-#> In file included from <built-in>:1:
-#> In file included from /Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22:
-#> In file included from /Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/Eigen/Dense:1:
-#> In file included from /Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/Eigen/Core:19:
-#> /Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:679:10: fatal error: 'cmath' file not found
-#>   679 | #include <cmath>
-#>       |          ^~~~~~~
-#> 1 error generated.
-#> make: *** [foo.o] Error 1
-#> 
-#> SAMPLING FOR MODEL 'rbmi_MMRM_us_default' NOW (CHAIN 1).
-#> Chain 1: 
-#> Chain 1: Gradient evaluation took 0.000227 seconds
-#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.27 seconds.
-#> Chain 1: Adjust your expectations accordingly!
-#> Chain 1: 
-#> Chain 1: 
-#> Chain 1: Iteration:   1 / 400 [  0%]  (Warmup)
-#> Chain 1: Iteration:  40 / 400 [ 10%]  (Warmup)
-#> Chain 1: Iteration:  80 / 400 [ 20%]  (Warmup)
-#> Chain 1: Iteration: 120 / 400 [ 30%]  (Warmup)
-#> Chain 1: Iteration: 160 / 400 [ 40%]  (Warmup)
-#> Chain 1: Iteration: 200 / 400 [ 50%]  (Warmup)
-#> Chain 1: Iteration: 201 / 400 [ 50%]  (Sampling)
-#> Chain 1: Iteration: 240 / 400 [ 60%]  (Sampling)
-#> Chain 1: Iteration: 280 / 400 [ 70%]  (Sampling)
-#> Chain 1: Iteration: 320 / 400 [ 80%]  (Sampling)
-#> Chain 1: Iteration: 360 / 400 [ 90%]  (Sampling)
-#> Chain 1: Iteration: 400 / 400 [100%]  (Sampling)
-#> Chain 1: 
-#> Chain 1:  Elapsed Time: 0.321 seconds (Warm-up)
-#> Chain 1:                0.247 seconds (Sampling)
-#> Chain 1:                0.568 seconds (Total)
-#> Chain 1:
-#> Warning: The Effective Sample Size is below 40% for 1 parameters. Please
-#> consider increasing burn-in and/or burn-between, or the number of samples
-
-
-

Generate Imputed Datasets -

-

The impute() function generates complete datasets under -the specified reference-based assumption. Here we use a -jump-to-reference approach where both arms are imputed under the -reference (Placebo) distribution.

-
-impute_obj <- impute(
-  draws_obj,
-  references = c("Placebo" = "Placebo", "Drug A" = "Placebo")
-)
-
-
-

Analyse Each Imputed Dataset -

-

Rather than calling rbmi::analyse() directly, rbmiUtils -provides analyse_mi_data(), which wraps the analyse step to -work with the stacked imputed data format. It applies an analysis -function – here, the built-in ancova function – to each -imputed dataset and stores the results for pooling.

-

First, we extract the imputed data into a stacked data frame using -get_imputed_data():

-
-ADMI <- get_imputed_data(impute_obj)
-

Then we analyse:

-
-ana_obj <- analyse_mi_data(
-  data = ADMI,
-  vars = vars,
-  method = method,
-  fun = ancova
-)
-
-
-

Pool Results -

-

Finally, pool() combines the per-imputation results -using Rubin’s -rules to produce a single set of estimates, standard errors, -confidence intervals, and p-values.

-
-pool_obj <- pool(ana_obj)
-print(pool_obj)
-#> 
-#> ── Pool Object ─────────────────────────────────────────────────────────────────
-#> 6 parameters across 2 visits
-#> Method: rubin
-#> N imputations: 100
-#> Confidence: 95%
-#> ────────────────────────────────────────────────────────────────────────────────
-#>        parameter   visit   est   lci   uci    pval
-#>      trt_Week 24 Week 24 -2.18 -2.53 -1.82 < 0.001
-#>  lsm_ref_Week 24 Week 24  0.08 -0.18  0.33   0.560
-#>  lsm_alt_Week 24 Week 24 -2.10 -2.35 -1.85 < 0.001
-#>      trt_Week 48 Week 48 -3.81 -4.31 -3.30 < 0.001
-#>  lsm_ref_Week 48 Week 48  0.04 -0.32  0.41   0.814
-#>  lsm_alt_Week 48 Week 48 -3.76 -4.11 -3.42 < 0.001
-
-
-
-

Tidying Results -

-

The pool object contains all the information we need, but its -structure is not immediately convenient for reporting. The -tidy_pool_obj() function converts it into a tidy tibble -with clearly labelled columns.

-
-tidy_df <- tidy_pool_obj(pool_obj)
-print(tidy_df)
-#> # A tibble: 6 × 10
-#>   parameter       description visit parameter_type lsm_type     est    se    lci
-#>   <chr>           <chr>       <chr> <chr>          <chr>      <dbl> <dbl>  <dbl>
-#> 1 trt_Week 24     Treatment … Week… trt            NA       -2.18   0.182 -2.53 
-#> 2 lsm_ref_Week 24 Least Squa… Week… lsm            ref       0.0764 0.131 -0.181
-#> 3 lsm_alt_Week 24 Least Squa… Week… lsm            alt      -2.10   0.125 -2.35 
-#> 4 trt_Week 48     Treatment … Week… trt            NA       -3.81   0.256 -4.31 
-#> 5 lsm_ref_Week 48 Least Squa… Week… lsm            ref       0.0436 0.185 -0.320
-#> 6 lsm_alt_Week 48 Least Squa… Week… lsm            alt      -3.76   0.175 -4.11 
-#> # ℹ 2 more variables: uci <dbl>, pval <dbl>
-

Each row represents one parameter at one visit. The key columns -are:

-
    -
  • -parameter: the raw parameter name from the pool -object
    • -
  • -parameter_type: "trt" for treatment -differences, "lsm" for least squares means
    • -
  • -lsm_type: "ref" or "alt" -for LS mean rows
    • -
  • -visit: the visit name
    • -
  • -est, se, lci, -uci, pval: the numeric results
    • -
-

This tidy format is the foundation for all downstream reporting. You -can filter, reshape, or format it as needed for your specific -tables.

-
-
-

Efficacy Table -

-

The efficacy_table() function takes the pool object and -produces a regulatory-style gt table in the format commonly seen in -ICH/CDISC Table 14.2.x submissions. It displays LS means by arm, -treatment differences, confidence intervals, and p-values, organised by -visit.

-
-tbl <- efficacy_table(pool_obj)
-tbl
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
EstimateStd. Error95% CIP-value
Week 24
LS Mean (Reference)0.080.13(-0.18, 0.33)0.560
LS Mean (Treatment)−2.100.13(-2.35, -1.85)< 0.001
Treatment Difference−2.180.18(-2.53, -1.82)< 0.001
Week 48
LS Mean (Reference)0.040.19(-0.32, 0.41)0.814
LS Mean (Treatment)−3.760.18(-4.11, -3.42)< 0.001
Treatment Difference−3.810.26(-4.31, -3.30)< 0.001
Pooling method: rubin
Number of imputations: 100
Confidence level: 95%
-
-

You can customise the table with descriptive titles and treatment arm -labels that match your study protocol:

-
-tbl_custom <- efficacy_table(
-  pool_obj,
-  title = "Table 14.2.1: ANCOVA of Change from Baseline",
-  subtitle = "Reference-Based Multiple Imputation (Jump to Reference)",
-  arm_labels = c(ref = "Placebo", alt = "Drug A")
-)
-tbl_custom
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Table 14.2.1: ANCOVA of Change from Baseline
Reference-Based Multiple Imputation (Jump to Reference)
EstimateStd. Error95% CIP-value
Week 24
LS Mean (Placebo)0.080.13(-0.18, 0.33)0.560
LS Mean (Drug A)−2.100.13(-2.35, -1.85)< 0.001
Treatment Difference−2.180.18(-2.53, -1.82)< 0.001
Week 48
LS Mean (Placebo)0.040.19(-0.32, 0.41)0.814
LS Mean (Drug A)−3.760.18(-4.11, -3.42)< 0.001
Treatment Difference−3.810.26(-4.31, -3.30)< 0.001
Pooling method: rubin
Number of imputations: 100
Confidence level: 95%
-
-

The returned object is a standard gt table, so you can apply any gt -customisation on top. For example, you could add footnotes, adjust -column widths, or change the table styling using -gt::tab_options().

-
-
-

Forest Plot -

-

The plot_forest() function creates a three-panel forest -plot: a text panel with visit labels and formatted estimates, a -graphical panel with point estimates and confidence interval whiskers, -and a p-value panel.

-
-

Treatment Difference Mode -

-

The default display = "trt" mode shows treatment -differences across visits, with a vertical reference line at zero. -Filled circles indicate visits where the confidence interval excludes -zero (statistically significant); open circles indicate non-significant -results.

-
-p <- plot_forest(
-  pool_obj,
-  title = "Treatment Effect: Change from Baseline (Drug A vs Placebo)"
-)
-p
-

-
-
-

LS Mean Display Mode -

-

The display = "lsm" mode shows the LS mean estimates for -each treatment arm, colour-coded using the Okabe-Ito -colourblind-friendly palette.

-
-p_lsm <- plot_forest(
-  pool_obj,
-  display = "lsm",
-  arm_labels = c(ref = "Placebo", alt = "Drug A"),
-  title = "LS Mean Estimates by Visit"
-)
-p_lsm
-

-

Both plot modes return a patchwork object that you can further -customise using the & theme() operator. For example, to -increase the text size across all panels:

-
plot_forest(pool_obj) & ggplot2::theme(text = ggplot2::element_text(size = 14))
-
-
-
-

Appendix: Binary/Responder Analysis -

-

The pipeline for binary responder endpoints follows the same overall -structure, but differs in two key ways: the analysis function uses -g-computation with logistic regression instead of ANCOVA, and the -responder variable is derived from the continuous outcome.

-

For this section, we use the pre-computed ADMI dataset -bundled with rbmiUtils. This dataset already contains 100 imputed copies -of the trial data with a binary responder variable -(CRIT1FLN), so we skip the draws() and -impute() steps.

-
-data("ADMI", package = "rbmiUtils")
-
-ADMI_binary <- ADMI |>
-  mutate(
-    TRT = factor(TRT, levels = c("Placebo", "Drug A")),
-    USUBJID = factor(USUBJID),
-    AVISIT = factor(AVISIT),
-    STRATA = factor(STRATA),
-    REGION = factor(REGION)
-  )
-

The gcomp_responder_multi() function applies -g-computation via beeca at each visit. It -fits a logistic regression model and uses the method of Ge et al. to -estimate covariate-adjusted marginal treatment effects.

-
-vars_binary <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CRIT1FLN",
-  covariates = c("BASE", "STRATA", "REGION")
-)
-
-method_binary <- method_bayes(
-  n_samples = 100,
-  control = control_bayes(warmup = 200, thin = 2)
-)
-
-ana_obj_binary <- analyse_mi_data(
-  data = ADMI_binary,
-  vars = vars_binary,
-  method = method_binary,
-  fun = gcomp_responder_multi,
-  reference_levels = "Placebo"
-)
-#> Warning: `extract_covariates2()` was deprecated in rbmiUtils 0.2.0.
-#> ℹ Internal helper will be removed in a future version.
-#> ℹ The deprecated feature was likely used in the rbmiUtils package.
-#>   Please report the issue at <https://github.com/openpharma/rbmiUtils/issues>.
-#> This warning is displayed once per session.
-#> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
-#> generated.
-#> Warning: `as_simple_formula2()` was deprecated in rbmiUtils 0.2.0.
-#> ℹ Internal helper will be removed in a future version.
-#> ℹ The deprecated feature was likely used in the rbmiUtils package.
-#>   Please report the issue at <https://github.com/openpharma/rbmiUtils/issues>.
-#> This warning is displayed once per session.
-#> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
-#> generated.
-
-pool_obj_binary <- pool(ana_obj_binary)
-print(pool_obj_binary)
-#> 
-#> ── Pool Object ─────────────────────────────────────────────────────────────────
-#> 6 parameters across 4 visits
-#> Method: rubin
-#> N imputations: 100
-#> Confidence: 95%
-#> ────────────────────────────────────────────────────────────────────────────────
-#>                   parameter                  visit   est   lci   uci    pval
-#>  trt_Drug A-Placebo_Week 24 Drug A-Placebo_Week 24 -0.03 -0.05 -0.01   0.007
-#>          lsm_Drug A_Week 24                Week 24  0.00  0.00  0.00   0.921
-#>         lsm_Placebo_Week 24                Week 24  0.03  0.01  0.05   0.007
-#>  trt_Drug A-Placebo_Week 48 Drug A-Placebo_Week 48 -0.10 -0.14 -0.05 < 0.001
-#>          lsm_Drug A_Week 48                Week 48  0.01  0.00  0.02   0.150
-#>         lsm_Placebo_Week 48                Week 48  0.10  0.06  0.14 < 0.001
-

The same reporting functions work seamlessly with the binary pool -object:

-
-tidy_pool_obj(pool_obj_binary)
-#> # A tibble: 6 × 10
-#>   parameter  description visit parameter_type lsm_type      est      se      lci
-#>   <chr>      <chr>       <chr> <chr>          <chr>       <dbl>   <dbl>    <dbl>
-#> 1 trt_Drug … Treatment … Drug… trt            NA       -3.08e-2 1.15e-2 -0.0534 
-#> 2 lsm_Drug … Least Squa… Week… lsm            Drug A    7.79e-5 7.85e-4 -0.00146
-#> 3 lsm_Place… Least Squa… Week… lsm            Placebo   3.09e-2 1.15e-2  0.00843
-#> 4 trt_Drug … Treatment … Drug… trt            NA       -9.57e-2 2.10e-2 -0.137  
-#> 5 lsm_Drug … Least Squa… Week… lsm            Drug A    7.27e-3 5.04e-3 -0.00262
-#> 6 lsm_Place… Least Squa… Week… lsm            Placebo   1.03e-1 2.06e-2  0.0627 
-#> # ℹ 2 more variables: uci <dbl>, pval <dbl>
-
-efficacy_table(
-  pool_obj_binary,
-  title = "Table 14.2.2: Responder Analysis (CHG > 3)",
-  subtitle = "G-computation with Marginal Effects",
-  arm_labels = c(ref = "Placebo", alt = "Drug A")
-)
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Table 14.2.2: Responder Analysis (CHG > 3)
G-computation with Marginal Effects
EstimateStd. Error95% CIP-value
Drug a-Placebo Week 24
Treatment Difference−0.030.01(-0.05, -0.01)0.007
Week 24
lsm_Drug A_Week 240.000.00(-0.00, 0.00)0.921
lsm_Placebo_Week 240.030.01(0.01, 0.05)0.007
Drug a-Placebo Week 48
Treatment Difference−0.100.02(-0.14, -0.05)< 0.001
Week 48
lsm_Drug A_Week 480.010.01(-0.00, 0.02)0.150
lsm_Placebo_Week 480.100.02(0.06, 0.14)< 0.001
Pooling method: rubin
Number of imputations: 100
Confidence level: 95%
-
-
-plot_forest(
-  pool_obj_binary,
-  title = "Responder Rate Difference (Drug A vs Placebo)"
-)
-

-

This demonstrates that efficacy_table() and -plot_forest() are output-agnostic: they work with any pool -object produced by the rbmi pipeline, whether the underlying analysis -used ANCOVA for a continuous endpoint or g-computation for a binary -one.

-
-
-
- - - -
-

Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

-
- -
-

Site built with pkgdown 2.1.1. Part of openpharma

-
- -
-
- - - - - - - diff --git a/docs/articles/pipeline_files/figure-html/binary-forest-1.png b/docs/articles/pipeline_files/figure-html/binary-forest-1.png deleted file mode 100644 index 5d5632e..0000000 Binary files a/docs/articles/pipeline_files/figure-html/binary-forest-1.png and /dev/null differ diff --git a/docs/articles/pipeline_files/figure-html/forest-lsm-1.png b/docs/articles/pipeline_files/figure-html/forest-lsm-1.png deleted file mode 100644 index 7418b58..0000000 Binary files a/docs/articles/pipeline_files/figure-html/forest-lsm-1.png and /dev/null differ diff --git a/docs/articles/pipeline_files/figure-html/forest-trt-1.png b/docs/articles/pipeline_files/figure-html/forest-trt-1.png deleted file mode 100644 index c4ccaec..0000000 Binary files a/docs/articles/pipeline_files/figure-html/forest-trt-1.png and /dev/null differ diff --git a/docs/authors.html b/docs/authors.html deleted file mode 100644 index 3cd436f..0000000 --- a/docs/authors.html +++ /dev/null @@ -1,105 +0,0 @@ - -Authors and Citation • rbmiUtils - Skip to contents - - -
-
-
-

Authors and Citation

-
- -
-

Authors

- -
  • -

    Mark Baillie. Author, maintainer, copyright holder. -

    -
    • -
  • -

    Tobias Mütze. Author. -

    -
    • -
  • -

    Jack Talboys. Author. -

    -
    • -
  • -

    Lukas A. Widmer. Contributor. -

    -
    • -
- -
-

Citation

-

Source: DESCRIPTION

- -

Baillie M, Mütze T, Talboys J (2026). -rbmiUtils: Utility Functions to Support and Extend the 'rbmi' Package. -R package version 0.3.0, https://github.com/openpharma/rbmiUtils. -

- 
@Manual{,
-  title = {rbmiUtils: Utility Functions to Support and Extend the 'rbmi' Package},
-  author = {Mark Baillie and Tobias Mütze and Jack Talboys},
-  year = {2026},
-  note = {R package version 0.3.0},
-  url = {https://github.com/openpharma/rbmiUtils},
-}
-
- -
- - -
-

Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

-
- -
-

Site built with pkgdown 2.1.1. Part of openpharma

-
- -
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H{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void g(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(Ki),this._emulateAnimation((()=>{g(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),g(t)}))):g(t)}dispose(){this._isAppended&&(N.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),N.on(t,Qi,(()=>{g(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends H{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),N.off(document,Gi),N.on(document,Ji,(t=>this._handleFocusin(t))),N.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,N.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=z.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&F.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=F.getDataAttribute(t,e);null!==i?(F.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of z.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",An="show",En="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends W{constructor(t,e){super(t,e),this._dialog=z.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||N.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(N.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){N.off(window,hn),N.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=z.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,N.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){N.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),N.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),N.on(this._element,bn,(t=>{N.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),N.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(N.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(En)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(En),this._queueCallback((()=>{this._element.classList.remove(En),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}N.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=z.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),N.one(e,pn,(t=>{t.defaultPrevented||N.one(e,fn,(()=>{a(this)&&this.focus()}))}));const i=z.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),R(On),m(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Wn=`click${xn}${kn}`,Bn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends W{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||N.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),N.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(N.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),N.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():N.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){N.on(this._element,Bn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():N.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}N.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=z.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;N.one(e,Fn,(()=>{a(this)&&this.focus()}));const i=z.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),N.on(window,Ln,(()=>{for(const t of z.find(In))qn.getOrCreateInstance(t).show()})),N.on(window,Hn,(()=>{for(const t of z.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),R(qn),m(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Yn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"
"},Un={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Gn={entry:"(string|element|function|null)",selector:"(string|element)"};class Jn extends H{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Yn}static get DefaultType(){return Un}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=z.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return g(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends W{constructor(t,e){if(void 0===vi)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),N.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=N.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),N.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._queueCallback((()=>{N.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!N.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._activeTrigger.click=!1,this._activeTrigger[os]=!1,this._activeTrigger[ss]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),N.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ts,es),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ts),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Jn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ts)}_isShown(){return this.tip&&this.tip.classList.contains(es)}_createPopper(t){const e=g(this._config.placement,[this,t,this._element]),i=rs[e.toUpperCase()];return bi(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return g(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...g(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)N.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===ss?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===ss?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");N.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?os:ss]=!0,e._enter()})),N.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?os:ss]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},N.on(this._element.closest(is),ns,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=F.getDataAttributes(this._element);for(const t of Object.keys(e))Zn.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=cs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}m(cs);const hs={...cs.Default,content:"",offset:[0,8],placement:"right",template:'',trigger:"click"},ds={...cs.DefaultType,content:"(null|string|element|function)"};class us extends cs{static get Default(){return hs}static get DefaultType(){return ds}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{".popover-header":this._getTitle(),".popover-body":this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=us.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}m(us);const fs=".bs.scrollspy",ps=`activate${fs}`,ms=`click${fs}`,gs=`load${fs}.data-api`,_s="active",bs="[href]",vs=".nav-link",ys=`${vs}, .nav-item > ${vs}, .list-group-item`,ws={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},As={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class Es extends W{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return ws}static get DefaultType(){return As}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=r(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(N.off(this._config.target,ms),N.on(this._config.target,ms,bs,(t=>{const 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object[0] : object\n }\n\n if (typeof object === 'string' && object.length > 0) {\n return document.querySelector(parseSelector(object))\n }\n\n return null\n}\n\nconst isVisible = element => {\n if (!isElement(element) || element.getClientRects().length === 0) {\n return false\n }\n\n const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible'\n // Handle `details` element as its content may falsie appear visible when it is closed\n const closedDetails = element.closest('details:not([open])')\n\n if (!closedDetails) {\n return elementIsVisible\n }\n\n if (closedDetails !== element) {\n const summary = element.closest('summary')\n if (summary && summary.parentNode !== closedDetails) {\n return false\n }\n\n if (summary === null) {\n return false\n }\n }\n\n return elementIsVisible\n}\n\nconst isDisabled = element => {\n if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n return true\n }\n\n if (element.classList.contains('disabled')) {\n return true\n }\n\n if (typeof element.disabled !== 'undefined') {\n return element.disabled\n }\n\n return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false'\n}\n\nconst findShadowRoot = element => {\n if (!document.documentElement.attachShadow) {\n return null\n }\n\n // Can find the shadow root otherwise it'll return the document\n if (typeof element.getRootNode === 'function') {\n const root = element.getRootNode()\n return root instanceof ShadowRoot ? root : null\n }\n\n if (element instanceof ShadowRoot) {\n return element\n }\n\n // when we don't find a shadow root\n if (!element.parentNode) {\n return null\n }\n\n return findShadowRoot(element.parentNode)\n}\n\nconst noop = () => {}\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n element.offsetHeight // eslint-disable-line no-unused-expressions\n}\n\nconst getjQuery = () => {\n if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n return window.jQuery\n }\n\n return null\n}\n\nconst DOMContentLoadedCallbacks = []\n\nconst onDOMContentLoaded = callback => {\n if (document.readyState === 'loading') {\n // add listener on the first call when the document is in loading state\n if (!DOMContentLoadedCallbacks.length) {\n document.addEventListener('DOMContentLoaded', () => {\n for (const callback of DOMContentLoadedCallbacks) {\n callback()\n }\n })\n }\n\n DOMContentLoadedCallbacks.push(callback)\n } else {\n callback()\n }\n}\n\nconst isRTL = () => document.documentElement.dir === 'rtl'\n\nconst defineJQueryPlugin = plugin => {\n onDOMContentLoaded(() => {\n const $ = getjQuery()\n /* istanbul ignore if */\n if ($) {\n const name = plugin.NAME\n const JQUERY_NO_CONFLICT = $.fn[name]\n $.fn[name] = plugin.jQueryInterface\n $.fn[name].Constructor = plugin\n $.fn[name].noConflict = () => {\n $.fn[name] = JQUERY_NO_CONFLICT\n return plugin.jQueryInterface\n }\n }\n })\n}\n\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue\n}\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n if (!waitForTransition) {\n execute(callback)\n return\n }\n\n const durationPadding = 5\n const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding\n\n let called = false\n\n const handler = ({ target }) => {\n if (target !== transitionElement) {\n return\n }\n\n called = true\n transitionElement.removeEventListener(TRANSITION_END, handler)\n execute(callback)\n }\n\n transitionElement.addEventListener(TRANSITION_END, handler)\n setTimeout(() => {\n if (!called) {\n triggerTransitionEnd(transitionElement)\n }\n }, emulatedDuration)\n}\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list The list of elements\n * @param activeElement The active element\n * @param shouldGetNext Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n const listLength = list.length\n let index = list.indexOf(activeElement)\n\n // if the element does not exist in the list return an element\n // depending on the direction and if cycle is allowed\n if (index === -1) {\n return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0]\n }\n\n index += shouldGetNext ? 1 : -1\n\n if (isCycleAllowed) {\n index = (index + listLength) % listLength\n }\n\n return list[Math.max(0, Math.min(index, listLength - 1))]\n}\n\nexport {\n defineJQueryPlugin,\n execute,\n executeAfterTransition,\n findShadowRoot,\n getElement,\n getjQuery,\n getNextActiveElement,\n getTransitionDurationFromElement,\n getUID,\n isDisabled,\n isElement,\n isRTL,\n isVisible,\n noop,\n onDOMContentLoaded,\n parseSelector,\n reflow,\n triggerTransitionEnd,\n toType\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { getjQuery } from '../util/index.js'\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/\nconst stripNameRegex = /\\..*/\nconst stripUidRegex = /::\\d+$/\nconst eventRegistry = {} // Events storage\nlet uidEvent = 1\nconst customEvents = {\n mouseenter: 'mouseover',\n mouseleave: 'mouseout'\n}\n\nconst nativeEvents = new Set([\n 'click',\n 'dblclick',\n 'mouseup',\n 'mousedown',\n 'contextmenu',\n 'mousewheel',\n 'DOMMouseScroll',\n 'mouseover',\n 'mouseout',\n 'mousemove',\n 'selectstart',\n 'selectend',\n 'keydown',\n 'keypress',\n 'keyup',\n 'orientationchange',\n 'touchstart',\n 'touchmove',\n 'touchend',\n 'touchcancel',\n 'pointerdown',\n 'pointermove',\n 'pointerup',\n 'pointerleave',\n 'pointercancel',\n 'gesturestart',\n 'gesturechange',\n 'gestureend',\n 'focus',\n 'blur',\n 'change',\n 'reset',\n 'select',\n 'submit',\n 'focusin',\n 'focusout',\n 'load',\n 'unload',\n 'beforeunload',\n 'resize',\n 'move',\n 'DOMContentLoaded',\n 'readystatechange',\n 'error',\n 'abort',\n 'scroll'\n])\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n return (uid && `${uid}::${uidEvent++}`) || element.uidEvent || uidEvent++\n}\n\nfunction getElementEvents(element) {\n const uid = makeEventUid(element)\n\n element.uidEvent = uid\n eventRegistry[uid] = eventRegistry[uid] || {}\n\n return eventRegistry[uid]\n}\n\nfunction bootstrapHandler(element, fn) {\n return function handler(event) {\n hydrateObj(event, { delegateTarget: element })\n\n if (handler.oneOff) {\n EventHandler.off(element, event.type, fn)\n }\n\n return fn.apply(element, [event])\n }\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n return function handler(event) {\n const domElements = element.querySelectorAll(selector)\n\n for (let { target } = event; target && target !== this; target = target.parentNode) {\n for (const domElement of domElements) {\n if (domElement !== target) {\n continue\n }\n\n hydrateObj(event, { delegateTarget: target })\n\n if (handler.oneOff) {\n EventHandler.off(element, event.type, selector, fn)\n }\n\n return fn.apply(target, [event])\n }\n }\n }\n}\n\nfunction findHandler(events, callable, delegationSelector = null) {\n return Object.values(events)\n .find(event => event.callable === callable && event.delegationSelector === delegationSelector)\n}\n\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n const isDelegated = typeof handler === 'string'\n // TODO: tooltip passes `false` instead of selector, so we need to check\n const callable = isDelegated ? delegationFunction : (handler || delegationFunction)\n let typeEvent = getTypeEvent(originalTypeEvent)\n\n if (!nativeEvents.has(typeEvent)) {\n typeEvent = originalTypeEvent\n }\n\n return [isDelegated, callable, typeEvent]\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return\n }\n\n let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n\n // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n if (originalTypeEvent in customEvents) {\n const wrapFunction = fn => {\n return function (event) {\n if (!event.relatedTarget || (event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget))) {\n return fn.call(this, event)\n }\n }\n }\n\n callable = wrapFunction(callable)\n }\n\n const events = getElementEvents(element)\n const handlers = events[typeEvent] || (events[typeEvent] = {})\n const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null)\n\n if (previousFunction) {\n previousFunction.oneOff = previousFunction.oneOff && oneOff\n\n return\n }\n\n const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''))\n const fn = isDelegated ?\n bootstrapDelegationHandler(element, handler, callable) :\n bootstrapHandler(element, callable)\n\n fn.delegationSelector = isDelegated ? handler : null\n fn.callable = callable\n fn.oneOff = oneOff\n fn.uidEvent = uid\n handlers[uid] = fn\n\n element.addEventListener(typeEvent, fn, isDelegated)\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n const fn = findHandler(events[typeEvent], handler, delegationSelector)\n\n if (!fn) {\n return\n }\n\n element.removeEventListener(typeEvent, fn, Boolean(delegationSelector))\n delete events[typeEvent][fn.uidEvent]\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n const storeElementEvent = events[typeEvent] || {}\n\n for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n if (handlerKey.includes(namespace)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n }\n }\n}\n\nfunction getTypeEvent(event) {\n // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n event = event.replace(stripNameRegex, '')\n return customEvents[event] || event\n}\n\nconst EventHandler = {\n on(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, false)\n },\n\n one(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, true)\n },\n\n off(element, originalTypeEvent, handler, delegationFunction) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return\n }\n\n const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n const inNamespace = typeEvent !== originalTypeEvent\n const events = getElementEvents(element)\n const storeElementEvent = events[typeEvent] || {}\n const isNamespace = originalTypeEvent.startsWith('.')\n\n if (typeof callable !== 'undefined') {\n // Simplest case: handler is passed, remove that listener ONLY.\n if (!Object.keys(storeElementEvent).length) {\n return\n }\n\n removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null)\n return\n }\n\n if (isNamespace) {\n for (const elementEvent of Object.keys(events)) {\n removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1))\n }\n }\n\n for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n const handlerKey = keyHandlers.replace(stripUidRegex, '')\n\n if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n }\n }\n },\n\n trigger(element, event, args) {\n if (typeof event !== 'string' || !element) {\n return null\n }\n\n const $ = getjQuery()\n const typeEvent = getTypeEvent(event)\n const inNamespace = event !== typeEvent\n\n let jQueryEvent = null\n let bubbles = true\n let nativeDispatch = true\n let defaultPrevented = false\n\n if (inNamespace && $) {\n jQueryEvent = $.Event(event, args)\n\n $(element).trigger(jQueryEvent)\n bubbles = !jQueryEvent.isPropagationStopped()\n nativeDispatch = !jQueryEvent.isImmediatePropagationStopped()\n defaultPrevented = jQueryEvent.isDefaultPrevented()\n }\n\n const evt = hydrateObj(new Event(event, { bubbles, cancelable: true }), args)\n\n if (defaultPrevented) {\n evt.preventDefault()\n }\n\n if (nativeDispatch) {\n element.dispatchEvent(evt)\n }\n\n if (evt.defaultPrevented && jQueryEvent) {\n jQueryEvent.preventDefault()\n }\n\n return evt\n }\n}\n\nfunction hydrateObj(obj, meta = {}) {\n for (const [key, value] of Object.entries(meta)) {\n try {\n obj[key] = value\n } catch {\n Object.defineProperty(obj, key, {\n configurable: true,\n get() {\n return value\n }\n })\n }\n }\n\n return obj\n}\n\nexport default EventHandler\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n if (value === 'true') {\n return true\n }\n\n if (value === 'false') {\n return false\n }\n\n if (value === Number(value).toString()) {\n return Number(value)\n }\n\n if (value === '' || value === 'null') {\n return null\n }\n\n if (typeof value !== 'string') {\n return value\n }\n\n try {\n return JSON.parse(decodeURIComponent(value))\n } catch {\n return value\n }\n}\n\nfunction normalizeDataKey(key) {\n return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`)\n}\n\nconst Manipulator = {\n setDataAttribute(element, key, value) {\n element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value)\n },\n\n removeDataAttribute(element, key) {\n element.removeAttribute(`data-bs-${normalizeDataKey(key)}`)\n },\n\n getDataAttributes(element) {\n if (!element) {\n return {}\n }\n\n const attributes = {}\n const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'))\n\n for (const key of bsKeys) {\n let pureKey = key.replace(/^bs/, '')\n pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length)\n attributes[pureKey] = normalizeData(element.dataset[key])\n }\n\n return attributes\n },\n\n getDataAttribute(element, key) {\n return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`))\n }\n}\n\nexport default Manipulator\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport { isElement, toType } from './index.js'\n\n/**\n * Class definition\n */\n\nclass Config {\n // Getters\n static get Default() {\n return {}\n }\n\n static get DefaultType() {\n return {}\n }\n\n static get NAME() {\n throw new Error('You have to implement the static method \"NAME\", for each component!')\n }\n\n _getConfig(config) {\n config = this._mergeConfigObj(config)\n config = this._configAfterMerge(config)\n this._typeCheckConfig(config)\n return config\n }\n\n _configAfterMerge(config) {\n return config\n }\n\n _mergeConfigObj(config, element) {\n const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {} // try to parse\n\n return {\n ...this.constructor.Default,\n ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n ...(typeof config === 'object' ? config : {})\n }\n }\n\n _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n for (const [property, expectedTypes] of Object.entries(configTypes)) {\n const value = config[property]\n const valueType = isElement(value) ? 'element' : toType(value)\n\n if (!new RegExp(expectedTypes).test(valueType)) {\n throw new TypeError(\n `${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`\n )\n }\n }\n }\n}\n\nexport default Config\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Data from './dom/data.js'\nimport EventHandler from './dom/event-handler.js'\nimport Config from './util/config.js'\nimport { executeAfterTransition, getElement } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.1'\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n constructor(element, config) {\n super()\n\n element = getElement(element)\n if (!element) {\n return\n }\n\n this._element = element\n this._config = this._getConfig(config)\n\n Data.set(this._element, this.constructor.DATA_KEY, this)\n }\n\n // Public\n dispose() {\n Data.remove(this._element, this.constructor.DATA_KEY)\n EventHandler.off(this._element, this.constructor.EVENT_KEY)\n\n for (const propertyName of Object.getOwnPropertyNames(this)) {\n this[propertyName] = null\n }\n }\n\n _queueCallback(callback, element, isAnimated = true) {\n executeAfterTransition(callback, element, isAnimated)\n }\n\n _getConfig(config) {\n config = this._mergeConfigObj(config, this._element)\n config = this._configAfterMerge(config)\n this._typeCheckConfig(config)\n return config\n }\n\n // Static\n static getInstance(element) {\n return Data.get(getElement(element), this.DATA_KEY)\n }\n\n static getOrCreateInstance(element, config = {}) {\n return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null)\n }\n\n static get VERSION() {\n return VERSION\n }\n\n static get DATA_KEY() {\n return `bs.${this.NAME}`\n }\n\n static get EVENT_KEY() {\n return `.${this.DATA_KEY}`\n }\n\n static eventName(name) {\n return `${name}${this.EVENT_KEY}`\n }\n}\n\nexport default BaseComponent\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { isDisabled, isVisible, parseSelector } from '../util/index.js'\n\nconst getSelector = element => {\n let selector = element.getAttribute('data-bs-target')\n\n if (!selector || selector === '#') {\n let hrefAttribute = element.getAttribute('href')\n\n // The only valid content that could double as a selector are IDs or classes,\n // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n // `document.querySelector` will rightfully complain it is invalid.\n // See https://github.com/twbs/bootstrap/issues/32273\n if (!hrefAttribute || (!hrefAttribute.includes('#') && !hrefAttribute.startsWith('.'))) {\n return null\n }\n\n // Just in case some CMS puts out a full URL with the anchor appended\n if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n hrefAttribute = `#${hrefAttribute.split('#')[1]}`\n }\n\n selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null\n }\n\n return parseSelector(selector)\n}\n\nconst SelectorEngine = {\n find(selector, element = document.documentElement) {\n return [].concat(...Element.prototype.querySelectorAll.call(element, selector))\n },\n\n findOne(selector, element = document.documentElement) {\n return Element.prototype.querySelector.call(element, selector)\n },\n\n children(element, selector) {\n return [].concat(...element.children).filter(child => child.matches(selector))\n },\n\n parents(element, selector) {\n const parents = []\n let ancestor = element.parentNode.closest(selector)\n\n while (ancestor) {\n parents.push(ancestor)\n ancestor = ancestor.parentNode.closest(selector)\n }\n\n return parents\n },\n\n prev(element, selector) {\n let previous = element.previousElementSibling\n\n while (previous) {\n if (previous.matches(selector)) {\n return [previous]\n }\n\n previous = previous.previousElementSibling\n }\n\n return []\n },\n // TODO: this is now unused; remove later along with prev()\n next(element, selector) {\n let next = element.nextElementSibling\n\n while (next) {\n if (next.matches(selector)) {\n return [next]\n }\n\n next = next.nextElementSibling\n }\n\n return []\n },\n\n focusableChildren(element) {\n const focusables = [\n 'a',\n 'button',\n 'input',\n 'textarea',\n 'select',\n 'details',\n '[tabindex]',\n '[contenteditable=\"true\"]'\n ].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',')\n\n return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el))\n },\n\n getSelectorFromElement(element) {\n const selector = getSelector(element)\n\n if (selector) {\n return SelectorEngine.findOne(selector) ? selector : null\n }\n\n return null\n },\n\n getElementFromSelector(element) {\n const selector = getSelector(element)\n\n return selector ? SelectorEngine.findOne(selector) : null\n },\n\n getMultipleElementsFromSelector(element) {\n const selector = getSelector(element)\n\n return selector ? SelectorEngine.find(selector) : []\n }\n}\n\nexport default SelectorEngine\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isDisabled } from './index.js'\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n const clickEvent = `click.dismiss${component.EVENT_KEY}`\n const name = component.NAME\n\n EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n if (isDisabled(this)) {\n return\n }\n\n const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`)\n const instance = component.getOrCreateInstance(target)\n\n // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n instance[method]()\n })\n}\n\nexport {\n enableDismissTrigger\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'alert'\nconst DATA_KEY = 'bs.alert'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_CLOSE = `close${EVENT_KEY}`\nconst EVENT_CLOSED = `closed${EVENT_KEY}`\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME\n }\n\n // Public\n close() {\n const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE)\n\n if (closeEvent.defaultPrevented) {\n return\n }\n\n this._element.classList.remove(CLASS_NAME_SHOW)\n\n const isAnimated = this._element.classList.contains(CLASS_NAME_FADE)\n this._queueCallback(() => this._destroyElement(), this._element, isAnimated)\n }\n\n // Private\n _destroyElement() {\n this._element.remove()\n EventHandler.trigger(this._element, EVENT_CLOSED)\n this.dispose()\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Alert.getOrCreateInstance(this)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](this)\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close')\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert)\n\nexport default Alert\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'button'\nconst DATA_KEY = 'bs.button'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"button\"]'\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle() {\n // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE))\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Button.getOrCreateInstance(this)\n\n if (config === 'toggle') {\n data[config]()\n }\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, event => {\n event.preventDefault()\n\n const button = event.target.closest(SELECTOR_DATA_TOGGLE)\n const data = Button.getOrCreateInstance(button)\n\n data.toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button)\n\nexport default Button\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'swipe'\nconst EVENT_KEY = '.bs.swipe'\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY}`\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY}`\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY}`\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY}`\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY}`\nconst POINTER_TYPE_TOUCH = 'touch'\nconst POINTER_TYPE_PEN = 'pen'\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event'\nconst SWIPE_THRESHOLD = 40\n\nconst Default = {\n endCallback: null,\n leftCallback: null,\n rightCallback: null\n}\n\nconst DefaultType = {\n endCallback: '(function|null)',\n leftCallback: '(function|null)',\n rightCallback: '(function|null)'\n}\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n constructor(element, config) {\n super()\n this._element = element\n\n if (!element || !Swipe.isSupported()) {\n return\n }\n\n this._config = this._getConfig(config)\n this._deltaX = 0\n this._supportPointerEvents = Boolean(window.PointerEvent)\n this._initEvents()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n dispose() {\n EventHandler.off(this._element, EVENT_KEY)\n }\n\n // Private\n _start(event) {\n if (!this._supportPointerEvents) {\n this._deltaX = event.touches[0].clientX\n\n return\n }\n\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX\n }\n }\n\n _end(event) {\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX - this._deltaX\n }\n\n this._handleSwipe()\n execute(this._config.endCallback)\n }\n\n _move(event) {\n this._deltaX = event.touches && event.touches.length > 1 ?\n 0 :\n event.touches[0].clientX - this._deltaX\n }\n\n _handleSwipe() {\n const absDeltaX = Math.abs(this._deltaX)\n\n if (absDeltaX <= SWIPE_THRESHOLD) {\n return\n }\n\n const direction = absDeltaX / this._deltaX\n\n this._deltaX = 0\n\n if (!direction) {\n return\n }\n\n execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback)\n }\n\n _initEvents() {\n if (this._supportPointerEvents) {\n EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event))\n EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event))\n\n this._element.classList.add(CLASS_NAME_POINTER_EVENT)\n } else {\n EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event))\n EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event))\n EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event))\n }\n }\n\n _eventIsPointerPenTouch(event) {\n return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH)\n }\n\n // Static\n static isSupported() {\n return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0\n }\n}\n\nexport default Swipe\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n defineJQueryPlugin,\n getNextActiveElement,\n isRTL,\n isVisible,\n reflow,\n triggerTransitionEnd\n} from './util/index.js'\nimport Swipe from './util/swipe.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'carousel'\nconst DATA_KEY = 'bs.carousel'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst TOUCHEVENT_COMPAT_WAIT = 500 // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next'\nconst ORDER_PREV = 'prev'\nconst DIRECTION_LEFT = 'left'\nconst DIRECTION_RIGHT = 'right'\n\nconst EVENT_SLIDE = `slide${EVENT_KEY}`\nconst EVENT_SLID = `slid${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_MOUSEENTER = `mouseenter${EVENT_KEY}`\nconst EVENT_MOUSELEAVE = `mouseleave${EVENT_KEY}`\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_CAROUSEL = 'carousel'\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_SLIDE = 'slide'\nconst CLASS_NAME_END = 'carousel-item-end'\nconst CLASS_NAME_START = 'carousel-item-start'\nconst CLASS_NAME_NEXT = 'carousel-item-next'\nconst CLASS_NAME_PREV = 'carousel-item-prev'\n\nconst SELECTOR_ACTIVE = '.active'\nconst SELECTOR_ITEM = '.carousel-item'\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM\nconst SELECTOR_ITEM_IMG = '.carousel-item img'\nconst SELECTOR_INDICATORS = '.carousel-indicators'\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]'\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]'\n\nconst KEY_TO_DIRECTION = {\n [ARROW_LEFT_KEY]: DIRECTION_RIGHT,\n [ARROW_RIGHT_KEY]: DIRECTION_LEFT\n}\n\nconst Default = {\n interval: 5000,\n keyboard: true,\n pause: 'hover',\n ride: false,\n touch: true,\n wrap: true\n}\n\nconst DefaultType = {\n interval: '(number|boolean)', // TODO:v6 remove boolean support\n keyboard: 'boolean',\n pause: '(string|boolean)',\n ride: '(boolean|string)',\n touch: 'boolean',\n wrap: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._interval = null\n this._activeElement = null\n this._isSliding = false\n this.touchTimeout = null\n this._swipeHelper = null\n\n this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element)\n this._addEventListeners()\n\n if (this._config.ride === CLASS_NAME_CAROUSEL) {\n this.cycle()\n }\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n next() {\n this._slide(ORDER_NEXT)\n }\n\n nextWhenVisible() {\n // FIXME TODO use `document.visibilityState`\n // Don't call next when the page isn't visible\n // or the carousel or its parent isn't visible\n if (!document.hidden && isVisible(this._element)) {\n this.next()\n }\n }\n\n prev() {\n this._slide(ORDER_PREV)\n }\n\n pause() {\n if (this._isSliding) {\n triggerTransitionEnd(this._element)\n }\n\n this._clearInterval()\n }\n\n cycle() {\n this._clearInterval()\n this._updateInterval()\n\n this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval)\n }\n\n _maybeEnableCycle() {\n if (!this._config.ride) {\n return\n }\n\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.cycle())\n return\n }\n\n this.cycle()\n }\n\n to(index) {\n const items = this._getItems()\n if (index > items.length - 1 || index < 0) {\n return\n }\n\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.to(index))\n return\n }\n\n const activeIndex = this._getItemIndex(this._getActive())\n if (activeIndex === index) {\n return\n }\n\n const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV\n\n this._slide(order, items[index])\n }\n\n dispose() {\n if (this._swipeHelper) {\n this._swipeHelper.dispose()\n }\n\n super.dispose()\n }\n\n // Private\n _configAfterMerge(config) {\n config.defaultInterval = config.interval\n return config\n }\n\n _addEventListeners() {\n if (this._config.keyboard) {\n EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n }\n\n if (this._config.pause === 'hover') {\n EventHandler.on(this._element, EVENT_MOUSEENTER, () => this.pause())\n EventHandler.on(this._element, EVENT_MOUSELEAVE, () => this._maybeEnableCycle())\n }\n\n if (this._config.touch && Swipe.isSupported()) {\n this._addTouchEventListeners()\n }\n }\n\n _addTouchEventListeners() {\n for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault())\n }\n\n const endCallBack = () => {\n if (this._config.pause !== 'hover') {\n return\n }\n\n // If it's a touch-enabled device, mouseenter/leave are fired as\n // part of the mouse compatibility events on first tap - the carousel\n // would stop cycling until user tapped out of it;\n // here, we listen for touchend, explicitly pause the carousel\n // (as if it's the second time we tap on it, mouseenter compat event\n // is NOT fired) and after a timeout (to allow for mouse compatibility\n // events to fire) we explicitly restart cycling\n\n this.pause()\n if (this.touchTimeout) {\n clearTimeout(this.touchTimeout)\n }\n\n this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval)\n }\n\n const swipeConfig = {\n leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n endCallback: endCallBack\n }\n\n this._swipeHelper = new Swipe(this._element, swipeConfig)\n }\n\n _keydown(event) {\n if (/input|textarea/i.test(event.target.tagName)) {\n return\n }\n\n const direction = KEY_TO_DIRECTION[event.key]\n if (direction) {\n event.preventDefault()\n this._slide(this._directionToOrder(direction))\n }\n }\n\n _getItemIndex(element) {\n return this._getItems().indexOf(element)\n }\n\n _setActiveIndicatorElement(index) {\n if (!this._indicatorsElement) {\n return\n }\n\n const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement)\n\n activeIndicator.classList.remove(CLASS_NAME_ACTIVE)\n activeIndicator.removeAttribute('aria-current')\n\n const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement)\n\n if (newActiveIndicator) {\n newActiveIndicator.classList.add(CLASS_NAME_ACTIVE)\n newActiveIndicator.setAttribute('aria-current', 'true')\n }\n }\n\n _updateInterval() {\n const element = this._activeElement || this._getActive()\n\n if (!element) {\n return\n }\n\n const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10)\n\n this._config.interval = elementInterval || this._config.defaultInterval\n }\n\n _slide(order, element = null) {\n if (this._isSliding) {\n return\n }\n\n const activeElement = this._getActive()\n const isNext = order === ORDER_NEXT\n const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap)\n\n if (nextElement === activeElement) {\n return\n }\n\n const nextElementIndex = this._getItemIndex(nextElement)\n\n const triggerEvent = eventName => {\n return EventHandler.trigger(this._element, eventName, {\n relatedTarget: nextElement,\n direction: this._orderToDirection(order),\n from: this._getItemIndex(activeElement),\n to: nextElementIndex\n })\n }\n\n const slideEvent = triggerEvent(EVENT_SLIDE)\n\n if (slideEvent.defaultPrevented) {\n return\n }\n\n if (!activeElement || !nextElement) {\n // Some weirdness is happening, so we bail\n // TODO: change tests that use empty divs to avoid this check\n return\n }\n\n const isCycling = Boolean(this._interval)\n this.pause()\n\n this._isSliding = true\n\n this._setActiveIndicatorElement(nextElementIndex)\n this._activeElement = nextElement\n\n const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END\n const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV\n\n nextElement.classList.add(orderClassName)\n\n reflow(nextElement)\n\n activeElement.classList.add(directionalClassName)\n nextElement.classList.add(directionalClassName)\n\n const completeCallBack = () => {\n nextElement.classList.remove(directionalClassName, orderClassName)\n nextElement.classList.add(CLASS_NAME_ACTIVE)\n\n activeElement.classList.remove(CLASS_NAME_ACTIVE, orderClassName, directionalClassName)\n\n this._isSliding = false\n\n triggerEvent(EVENT_SLID)\n }\n\n this._queueCallback(completeCallBack, activeElement, this._isAnimated())\n\n if (isCycling) {\n this.cycle()\n }\n }\n\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_SLIDE)\n }\n\n _getActive() {\n return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n }\n\n _getItems() {\n return SelectorEngine.find(SELECTOR_ITEM, this._element)\n }\n\n _clearInterval() {\n if (this._interval) {\n clearInterval(this._interval)\n this._interval = null\n }\n }\n\n _directionToOrder(direction) {\n if (isRTL()) {\n return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT\n }\n\n return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV\n }\n\n _orderToDirection(order) {\n if (isRTL()) {\n return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT\n }\n\n return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Carousel.getOrCreateInstance(this, config)\n\n if (typeof config === 'number') {\n data.to(config)\n return\n }\n\n if (typeof config === 'string') {\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n }\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_SLIDE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this)\n\n if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n return\n }\n\n event.preventDefault()\n\n const carousel = Carousel.getOrCreateInstance(target)\n const slideIndex = this.getAttribute('data-bs-slide-to')\n\n if (slideIndex) {\n carousel.to(slideIndex)\n carousel._maybeEnableCycle()\n return\n }\n\n if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n carousel.next()\n carousel._maybeEnableCycle()\n return\n }\n\n carousel.prev()\n carousel._maybeEnableCycle()\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE)\n\n for (const carousel of carousels) {\n Carousel.getOrCreateInstance(carousel)\n }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel)\n\nexport default Carousel\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n defineJQueryPlugin,\n getElement,\n reflow\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'collapse'\nconst DATA_KEY = 'bs.collapse'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_COLLAPSE = 'collapse'\nconst CLASS_NAME_COLLAPSING = 'collapsing'\nconst CLASS_NAME_COLLAPSED = 'collapsed'\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal'\n\nconst WIDTH = 'width'\nconst HEIGHT = 'height'\n\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"collapse\"]'\n\nconst Default = {\n parent: null,\n toggle: true\n}\n\nconst DefaultType = {\n parent: '(null|element)',\n toggle: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._isTransitioning = false\n this._triggerArray = []\n\n const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE)\n\n for (const elem of toggleList) {\n const selector = SelectorEngine.getSelectorFromElement(elem)\n const filterElement = SelectorEngine.find(selector)\n .filter(foundElement => foundElement === this._element)\n\n if (selector !== null && filterElement.length) {\n this._triggerArray.push(elem)\n }\n }\n\n this._initializeChildren()\n\n if (!this._config.parent) {\n this._addAriaAndCollapsedClass(this._triggerArray, this._isShown())\n }\n\n if (this._config.toggle) {\n this.toggle()\n }\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle() {\n if (this._isShown()) {\n this.hide()\n } else {\n this.show()\n }\n }\n\n show() {\n if (this._isTransitioning || this._isShown()) {\n return\n }\n\n let activeChildren = []\n\n // find active children\n if (this._config.parent) {\n activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES)\n .filter(element => element !== this._element)\n .map(element => Collapse.getOrCreateInstance(element, { toggle: false }))\n }\n\n if (activeChildren.length && activeChildren[0]._isTransitioning) {\n return\n }\n\n const startEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n if (startEvent.defaultPrevented) {\n return\n }\n\n for (const activeInstance of activeChildren) {\n activeInstance.hide()\n }\n\n const dimension = this._getDimension()\n\n this._element.classList.remove(CLASS_NAME_COLLAPSE)\n this._element.classList.add(CLASS_NAME_COLLAPSING)\n\n this._element.style[dimension] = 0\n\n this._addAriaAndCollapsedClass(this._triggerArray, true)\n this._isTransitioning = true\n\n const complete = () => {\n this._isTransitioning = false\n\n this._element.classList.remove(CLASS_NAME_COLLAPSING)\n this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n this._element.style[dimension] = ''\n\n EventHandler.trigger(this._element, EVENT_SHOWN)\n }\n\n const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1)\n const scrollSize = `scroll${capitalizedDimension}`\n\n this._queueCallback(complete, this._element, true)\n this._element.style[dimension] = `${this._element[scrollSize]}px`\n }\n\n hide() {\n if (this._isTransitioning || !this._isShown()) {\n return\n }\n\n const startEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n if (startEvent.defaultPrevented) {\n return\n }\n\n const dimension = this._getDimension()\n\n this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`\n\n reflow(this._element)\n\n this._element.classList.add(CLASS_NAME_COLLAPSING)\n this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n for (const trigger of this._triggerArray) {\n const element = SelectorEngine.getElementFromSelector(trigger)\n\n if (element && !this._isShown(element)) {\n this._addAriaAndCollapsedClass([trigger], false)\n }\n }\n\n this._isTransitioning = true\n\n const complete = () => {\n this._isTransitioning = false\n this._element.classList.remove(CLASS_NAME_COLLAPSING)\n this._element.classList.add(CLASS_NAME_COLLAPSE)\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n }\n\n this._element.style[dimension] = ''\n\n this._queueCallback(complete, this._element, true)\n }\n\n _isShown(element = this._element) {\n return element.classList.contains(CLASS_NAME_SHOW)\n }\n\n // Private\n _configAfterMerge(config) {\n config.toggle = Boolean(config.toggle) // Coerce string values\n config.parent = getElement(config.parent)\n return config\n }\n\n _getDimension() {\n return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT\n }\n\n _initializeChildren() {\n if (!this._config.parent) {\n return\n }\n\n const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE)\n\n for (const element of children) {\n const selected = SelectorEngine.getElementFromSelector(element)\n\n if (selected) {\n this._addAriaAndCollapsedClass([element], this._isShown(selected))\n }\n }\n }\n\n _getFirstLevelChildren(selector) {\n const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent)\n // remove children if greater depth\n return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element))\n }\n\n _addAriaAndCollapsedClass(triggerArray, isOpen) {\n if (!triggerArray.length) {\n return\n }\n\n for (const element of triggerArray) {\n element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen)\n element.setAttribute('aria-expanded', isOpen)\n }\n }\n\n // Static\n static jQueryInterface(config) {\n const _config = {}\n if (typeof config === 'string' && /show|hide/.test(config)) {\n _config.toggle = false\n }\n\n return this.each(function () {\n const data = Collapse.getOrCreateInstance(this, _config)\n\n if (typeof config === 'string') {\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n }\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n // preventDefault only for elements (which change the URL) not inside the collapsible element\n if (event.target.tagName === 'A' || (event.delegateTarget && event.delegateTarget.tagName === 'A')) {\n event.preventDefault()\n }\n\n for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n Collapse.getOrCreateInstance(element, { toggle: false }).toggle()\n }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse)\n\nexport default Collapse\n","export var top = 'top';\nexport var bottom = 'bottom';\nexport var right = 'right';\nexport var left = 'left';\nexport var auto = 'auto';\nexport var basePlacements = [top, bottom, right, left];\nexport var start = 'start';\nexport var end = 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","export default function getNodeName(element) {\n return element ? (element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n if (node == null) {\n return window;\n }\n\n if (node.toString() !== '[object Window]') {\n var ownerDocument = node.ownerDocument;\n return ownerDocument ? ownerDocument.defaultView || window : window;\n }\n\n return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n var OwnElement = getWindow(node).Element;\n return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n var OwnElement = getWindow(node).HTMLElement;\n return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n // IE 11 has no ShadowRoot\n if (typeof ShadowRoot === 'undefined') {\n return false;\n }\n\n var OwnElement = getWindow(node).ShadowRoot;\n return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n var state = _ref.state;\n Object.keys(state.elements).forEach(function (name) {\n var style = state.styles[name] || {};\n var attributes = state.attributes[name] || {};\n var element = state.elements[name]; // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n } // Flow doesn't support to extend this property, but it's the most\n // effective way to apply styles to an HTMLElement\n // $FlowFixMe[cannot-write]\n\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (name) {\n var value = attributes[name];\n\n if (value === false) {\n element.removeAttribute(name);\n } else {\n element.setAttribute(name, value === true ? '' : value);\n }\n });\n });\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state;\n var initialStyles = {\n popper: {\n position: state.options.strategy,\n left: '0',\n top: '0',\n margin: '0'\n },\n arrow: {\n position: 'absolute'\n },\n reference: {}\n };\n Object.assign(state.elements.popper.style, initialStyles.popper);\n state.styles = initialStyles;\n\n if (state.elements.arrow) {\n Object.assign(state.elements.arrow.style, initialStyles.arrow);\n }\n\n return function () {\n Object.keys(state.elements).forEach(function (name) {\n var element = state.elements[name];\n var attributes = state.attributes[name] || {};\n var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n var style = styleProperties.reduce(function (style, property) {\n style[property] = '';\n return style;\n }, {}); // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n }\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (attribute) {\n element.removeAttribute(attribute);\n });\n });\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'applyStyles',\n enabled: true,\n phase: 'write',\n fn: applyStyles,\n effect: effect,\n requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n var uaData = navigator.userAgentData;\n\n if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n return uaData.brands.map(function (item) {\n return item.brand + \"/\" + item.version;\n }).join(' ');\n }\n\n return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n if (includeScale === void 0) {\n includeScale = false;\n }\n\n if (isFixedStrategy === void 0) {\n isFixedStrategy = false;\n }\n\n var clientRect = element.getBoundingClientRect();\n var scaleX = 1;\n var scaleY = 1;\n\n if (includeScale && isHTMLElement(element)) {\n scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n }\n\n var _ref = isElement(element) ? getWindow(element) : window,\n visualViewport = _ref.visualViewport;\n\n var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n var width = clientRect.width / scaleX;\n var height = clientRect.height / scaleY;\n return {\n width: width,\n height: height,\n top: y,\n right: x + width,\n bottom: y + height,\n left: x,\n x: x,\n y: y\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n var width = element.offsetWidth;\n var height = element.offsetHeight;\n\n if (Math.abs(clientRect.width - width) <= 1) {\n width = clientRect.width;\n }\n\n if (Math.abs(clientRect.height - height) <= 1) {\n height = clientRect.height;\n }\n\n return {\n x: element.offsetLeft,\n y: element.offsetTop,\n width: width,\n height: height\n };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n if (parent.contains(child)) {\n return true;\n } // then fallback to custom implementation with Shadow DOM support\n else if (rootNode && isShadowRoot(rootNode)) {\n var next = child;\n\n do {\n if (next && parent.isSameNode(next)) {\n return true;\n } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n next = next.parentNode || next.host;\n } while (next);\n } // Give up, the result is false\n\n\n return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n if (getNodeName(element) === 'html') {\n return element;\n }\n\n return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n // $FlowFixMe[incompatible-return]\n // $FlowFixMe[prop-missing]\n element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n element.parentNode || ( // DOM Element detected\n isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n getDocumentElement(element) // fallback\n\n );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n getComputedStyle(element).position === 'fixed') {\n return null;\n }\n\n return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n var isFirefox = /firefox/i.test(getUAString());\n var isIE = /Trident/i.test(getUAString());\n\n if (isIE && isHTMLElement(element)) {\n // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n var elementCss = getComputedStyle(element);\n\n if (elementCss.position === 'fixed') {\n return null;\n }\n }\n\n var currentNode = getParentNode(element);\n\n if (isShadowRoot(currentNode)) {\n currentNode = currentNode.host;\n }\n\n while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n // create a containing block.\n // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n return currentNode;\n } else {\n currentNode = currentNode.parentNode;\n }\n }\n\n return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n var window = getWindow(element);\n var offsetParent = getTrueOffsetParent(element);\n\n while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n offsetParent = getTrueOffsetParent(offsetParent);\n }\n\n if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n return window;\n }\n\n return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n var v = within(min, value, max);\n return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n return {\n top: 0,\n right: 0,\n bottom: 0,\n left: 0\n };\n}","export default function expandToHashMap(value, keys) {\n return keys.reduce(function (hashMap, key) {\n hashMap[key] = value;\n return hashMap;\n }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n placement: state.placement\n })) : padding;\n return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n var _state$modifiersData$;\n\n var state = _ref.state,\n name = _ref.name,\n options = _ref.options;\n var arrowElement = state.elements.arrow;\n var popperOffsets = state.modifiersData.popperOffsets;\n var basePlacement = getBasePlacement(state.placement);\n var axis = getMainAxisFromPlacement(basePlacement);\n var isVertical = [left, right].indexOf(basePlacement) >= 0;\n var len = isVertical ? 'height' : 'width';\n\n if (!arrowElement || !popperOffsets) {\n return;\n }\n\n var paddingObject = toPaddingObject(options.padding, state);\n var arrowRect = getLayoutRect(arrowElement);\n var minProp = axis === 'y' ? top : left;\n var maxProp = axis === 'y' ? bottom : right;\n var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n var arrowOffsetParent = getOffsetParent(arrowElement);\n var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n // outside of the popper bounds\n\n var min = paddingObject[minProp];\n var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n var axisProp = axis;\n state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state,\n options = _ref2.options;\n var _options$element = options.element,\n arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n if (arrowElement == null) {\n return;\n } // CSS selector\n\n\n if (typeof arrowElement === 'string') {\n arrowElement = state.elements.popper.querySelector(arrowElement);\n\n if (!arrowElement) {\n return;\n }\n }\n\n if (!contains(state.elements.popper, arrowElement)) {\n return;\n }\n\n state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'arrow',\n enabled: true,\n phase: 'main',\n fn: arrow,\n effect: effect,\n requires: ['popperOffsets'],\n requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n top: 'auto',\n right: 'auto',\n bottom: 'auto',\n left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n var x = _ref.x,\n y = _ref.y;\n var dpr = win.devicePixelRatio || 1;\n return {\n x: round(x * dpr) / dpr || 0,\n y: round(y * dpr) / dpr || 0\n };\n}\n\nexport function mapToStyles(_ref2) {\n var _Object$assign2;\n\n var popper = _ref2.popper,\n popperRect = _ref2.popperRect,\n placement = _ref2.placement,\n variation = _ref2.variation,\n offsets = _ref2.offsets,\n position = _ref2.position,\n gpuAcceleration = _ref2.gpuAcceleration,\n adaptive = _ref2.adaptive,\n roundOffsets = _ref2.roundOffsets,\n isFixed = _ref2.isFixed;\n var _offsets$x = offsets.x,\n x = _offsets$x === void 0 ? 0 : _offsets$x,\n _offsets$y = offsets.y,\n y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n x: x,\n y: y\n }) : {\n x: x,\n y: y\n };\n\n x = _ref3.x;\n y = _ref3.y;\n var hasX = offsets.hasOwnProperty('x');\n var hasY = offsets.hasOwnProperty('y');\n var sideX = left;\n var sideY = top;\n var win = window;\n\n if (adaptive) {\n var offsetParent = getOffsetParent(popper);\n var heightProp = 'clientHeight';\n var widthProp = 'clientWidth';\n\n if (offsetParent === getWindow(popper)) {\n offsetParent = getDocumentElement(popper);\n\n if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n heightProp = 'scrollHeight';\n widthProp = 'scrollWidth';\n }\n } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n offsetParent = offsetParent;\n\n if (placement === top || (placement === left || placement === right) && variation === end) {\n sideY = bottom;\n var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n offsetParent[heightProp];\n y -= offsetY - popperRect.height;\n y *= gpuAcceleration ? 1 : -1;\n }\n\n if (placement === left || (placement === top || placement === bottom) && variation === end) {\n sideX = right;\n var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n offsetParent[widthProp];\n x -= offsetX - popperRect.width;\n x *= gpuAcceleration ? 1 : -1;\n }\n }\n\n var commonStyles = Object.assign({\n position: position\n }, adaptive && unsetSides);\n\n var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n x: x,\n y: y\n }, getWindow(popper)) : {\n x: x,\n y: y\n };\n\n x = _ref4.x;\n y = _ref4.y;\n\n if (gpuAcceleration) {\n var _Object$assign;\n\n return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n }\n\n return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n var state = _ref5.state,\n options = _ref5.options;\n var _options$gpuAccelerat = options.gpuAcceleration,\n gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n _options$adaptive = options.adaptive,\n adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n _options$roundOffsets = options.roundOffsets,\n roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n var commonStyles = {\n placement: getBasePlacement(state.placement),\n variation: getVariation(state.placement),\n popper: state.elements.popper,\n popperRect: state.rects.popper,\n gpuAcceleration: gpuAcceleration,\n isFixed: state.options.strategy === 'fixed'\n };\n\n if (state.modifiersData.popperOffsets != null) {\n state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.popperOffsets,\n position: state.options.strategy,\n adaptive: adaptive,\n roundOffsets: roundOffsets\n })));\n }\n\n if (state.modifiersData.arrow != null) {\n state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.arrow,\n position: 'absolute',\n adaptive: false,\n roundOffsets: roundOffsets\n })));\n }\n\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-placement': state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'computeStyles',\n enabled: true,\n phase: 'beforeWrite',\n fn: computeStyles,\n data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n passive: true\n};\n\nfunction effect(_ref) {\n var state = _ref.state,\n instance = _ref.instance,\n options = _ref.options;\n var _options$scroll = options.scroll,\n scroll = _options$scroll === void 0 ? true : _options$scroll,\n _options$resize = options.resize,\n resize = _options$resize === void 0 ? true : _options$resize;\n var window = getWindow(state.elements.popper);\n var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.addEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.addEventListener('resize', instance.update, passive);\n }\n\n return function () {\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.removeEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.removeEventListener('resize', instance.update, passive);\n }\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'eventListeners',\n enabled: true,\n phase: 'write',\n fn: function fn() {},\n effect: effect,\n data: {}\n};","var hash = {\n left: 'right',\n right: 'left',\n bottom: 'top',\n top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n return placement.replace(/left|right|bottom|top/g, function (matched) {\n return hash[matched];\n });\n}","var hash = {\n start: 'end',\n end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n return placement.replace(/start|end/g, function (matched) {\n return hash[matched];\n });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n var win = getWindow(node);\n var scrollLeft = win.pageXOffset;\n var scrollTop = win.pageYOffset;\n return {\n scrollLeft: scrollLeft,\n scrollTop: scrollTop\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n // If has a CSS width greater than the viewport, then this will be\n // incorrect for RTL.\n // Popper 1 is broken in this case and never had a bug report so let's assume\n // it's not an issue. I don't think anyone ever specifies width on \n // anyway.\n // Browsers where the left scrollbar doesn't cause an issue report `0` for\n // this (e.g. Edge 2019, IE11, Safari)\n return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n // Firefox wants us to check `-x` and `-y` variations as well\n var _getComputedStyle = getComputedStyle(element),\n overflow = _getComputedStyle.overflow,\n overflowX = _getComputedStyle.overflowX,\n overflowY = _getComputedStyle.overflowY;\n\n return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return node.ownerDocument.body;\n }\n\n if (isHTMLElement(node) && isScrollParent(node)) {\n return node;\n }\n\n return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n var _element$ownerDocumen;\n\n if (list === void 0) {\n list = [];\n }\n\n var scrollParent = getScrollParent(element);\n var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n var win = getWindow(scrollParent);\n var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n var updatedList = list.concat(target);\n return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n return Object.assign({}, rect, {\n left: rect.x,\n top: rect.y,\n right: rect.x + rect.width,\n bottom: rect.y + rect.height\n });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n rect.top = rect.top + element.clientTop;\n rect.left = rect.left + element.clientLeft;\n rect.bottom = rect.top + element.clientHeight;\n rect.right = rect.left + element.clientWidth;\n rect.width = element.clientWidth;\n rect.height = element.clientHeight;\n rect.x = rect.left;\n rect.y = rect.top;\n return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n var clippingParents = listScrollParents(getParentNode(element));\n var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n if (!isElement(clipperElement)) {\n return [];\n } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n return clippingParents.filter(function (clippingParent) {\n return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n var firstClippingParent = clippingParents[0];\n var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n accRect.top = max(rect.top, accRect.top);\n accRect.right = min(rect.right, accRect.right);\n accRect.bottom = min(rect.bottom, accRect.bottom);\n accRect.left = max(rect.left, accRect.left);\n return accRect;\n }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n clippingRect.width = clippingRect.right - clippingRect.left;\n clippingRect.height = clippingRect.bottom - clippingRect.top;\n clippingRect.x = clippingRect.left;\n clippingRect.y = clippingRect.top;\n return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n var win = getWindow(element);\n var html = getDocumentElement(element);\n var visualViewport = win.visualViewport;\n var width = html.clientWidth;\n var height = html.clientHeight;\n var x = 0;\n var y = 0;\n\n if (visualViewport) {\n width = visualViewport.width;\n height = visualViewport.height;\n var layoutViewport = isLayoutViewport();\n\n if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n x = visualViewport.offsetLeft;\n y = visualViewport.offsetTop;\n }\n }\n\n return {\n width: width,\n height: height,\n x: x + getWindowScrollBarX(element),\n y: y\n };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `` and `` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n var _element$ownerDocumen;\n\n var html = getDocumentElement(element);\n var winScroll = getWindowScroll(element);\n var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n var y = -winScroll.scrollTop;\n\n if (getComputedStyle(body || html).direction === 'rtl') {\n x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n }\n\n return {\n width: width,\n height: height,\n x: x,\n y: y\n };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n var reference = _ref.reference,\n element = _ref.element,\n placement = _ref.placement;\n var basePlacement = placement ? getBasePlacement(placement) : null;\n var variation = placement ? getVariation(placement) : null;\n var commonX = reference.x + reference.width / 2 - element.width / 2;\n var commonY = reference.y + reference.height / 2 - element.height / 2;\n var offsets;\n\n switch (basePlacement) {\n case top:\n offsets = {\n x: commonX,\n y: reference.y - element.height\n };\n break;\n\n case bottom:\n offsets = {\n x: commonX,\n y: reference.y + reference.height\n };\n break;\n\n case right:\n offsets = {\n x: reference.x + reference.width,\n y: commonY\n };\n break;\n\n case left:\n offsets = {\n x: reference.x - element.width,\n y: commonY\n };\n break;\n\n default:\n offsets = {\n x: reference.x,\n y: reference.y\n };\n }\n\n var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n if (mainAxis != null) {\n var len = mainAxis === 'y' ? 'height' : 'width';\n\n switch (variation) {\n case start:\n offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n break;\n\n case end:\n offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n break;\n\n default:\n }\n }\n\n return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n _options$placement = _options.placement,\n placement = _options$placement === void 0 ? state.placement : _options$placement,\n _options$strategy = _options.strategy,\n strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n _options$boundary = _options.boundary,\n boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n _options$rootBoundary = _options.rootBoundary,\n rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n _options$elementConte = _options.elementContext,\n elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n _options$altBoundary = _options.altBoundary,\n altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n _options$padding = _options.padding,\n padding = _options$padding === void 0 ? 0 : _options$padding;\n var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n var altContext = elementContext === popper ? reference : popper;\n var popperRect = state.rects.popper;\n var element = state.elements[altBoundary ? altContext : elementContext];\n var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n var referenceClientRect = getBoundingClientRect(state.elements.reference);\n var popperOffsets = computeOffsets({\n reference: referenceClientRect,\n element: popperRect,\n strategy: 'absolute',\n placement: placement\n });\n var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n // 0 or negative = within the clipping rect\n\n var overflowOffsets = {\n top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n };\n var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n if (elementContext === popper && offsetData) {\n var offset = offsetData[placement];\n Object.keys(overflowOffsets).forEach(function (key) {\n var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n overflowOffsets[key] += offset[axis] * multiply;\n });\n }\n\n return overflowOffsets;\n}","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n placement = _options.placement,\n boundary = _options.boundary,\n rootBoundary = _options.rootBoundary,\n padding = _options.padding,\n flipVariations = _options.flipVariations,\n _options$allowedAutoP = _options.allowedAutoPlacements,\n allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n var variation = getVariation(placement);\n var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n return getVariation(placement) === variation;\n }) : basePlacements;\n var allowedPlacements = placements.filter(function (placement) {\n return allowedAutoPlacements.indexOf(placement) >= 0;\n });\n\n if (allowedPlacements.length === 0) {\n allowedPlacements = placements;\n } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n var overflows = allowedPlacements.reduce(function (acc, placement) {\n acc[placement] = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding\n })[getBasePlacement(placement)];\n return acc;\n }, {});\n return Object.keys(overflows).sort(function (a, b) {\n return overflows[a] - overflows[b];\n });\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n if (getBasePlacement(placement) === auto) {\n return [];\n }\n\n var oppositePlacement = getOppositePlacement(placement);\n return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n\n if (state.modifiersData[name]._skip) {\n return;\n }\n\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n specifiedFallbackPlacements = options.fallbackPlacements,\n padding = options.padding,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n _options$flipVariatio = options.flipVariations,\n flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n allowedAutoPlacements = options.allowedAutoPlacements;\n var preferredPlacement = state.options.placement;\n var basePlacement = getBasePlacement(preferredPlacement);\n var isBasePlacement = basePlacement === preferredPlacement;\n var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n flipVariations: flipVariations,\n allowedAutoPlacements: allowedAutoPlacements\n }) : placement);\n }, []);\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var checksMap = new Map();\n var makeFallbackChecks = true;\n var firstFittingPlacement = placements[0];\n\n for (var i = 0; i < placements.length; i++) {\n var placement = placements[i];\n\n var _basePlacement = getBasePlacement(placement);\n\n var isStartVariation = getVariation(placement) === start;\n var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n var len = isVertical ? 'width' : 'height';\n var overflow = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n altBoundary: altBoundary,\n padding: padding\n });\n var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n if (referenceRect[len] > popperRect[len]) {\n mainVariationSide = getOppositePlacement(mainVariationSide);\n }\n\n var altVariationSide = getOppositePlacement(mainVariationSide);\n var checks = [];\n\n if (checkMainAxis) {\n checks.push(overflow[_basePlacement] <= 0);\n }\n\n if (checkAltAxis) {\n checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n }\n\n if (checks.every(function (check) {\n return check;\n })) {\n firstFittingPlacement = placement;\n makeFallbackChecks = false;\n break;\n }\n\n checksMap.set(placement, checks);\n }\n\n if (makeFallbackChecks) {\n // `2` may be desired in some cases – research later\n var numberOfChecks = flipVariations ? 3 : 1;\n\n var _loop = function _loop(_i) {\n var fittingPlacement = placements.find(function (placement) {\n var checks = checksMap.get(placement);\n\n if (checks) {\n return checks.slice(0, _i).every(function (check) {\n return check;\n });\n }\n });\n\n if (fittingPlacement) {\n firstFittingPlacement = fittingPlacement;\n return \"break\";\n }\n };\n\n for (var _i = numberOfChecks; _i > 0; _i--) {\n var _ret = _loop(_i);\n\n if (_ret === \"break\") break;\n }\n }\n\n if (state.placement !== firstFittingPlacement) {\n state.modifiersData[name]._skip = true;\n state.placement = firstFittingPlacement;\n state.reset = true;\n }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'flip',\n enabled: true,\n phase: 'main',\n fn: flip,\n requiresIfExists: ['offset'],\n data: {\n _skip: false\n }\n};","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n if (preventedOffsets === void 0) {\n preventedOffsets = {\n x: 0,\n y: 0\n };\n }\n\n return {\n top: overflow.top - rect.height - preventedOffsets.y,\n right: overflow.right - rect.width + preventedOffsets.x,\n bottom: overflow.bottom - rect.height + preventedOffsets.y,\n left: overflow.left - rect.width - preventedOffsets.x\n };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n return [top, right, bottom, left].some(function (side) {\n return overflow[side] >= 0;\n });\n}\n\nfunction hide(_ref) {\n var state = _ref.state,\n name = _ref.name;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var preventedOffsets = state.modifiersData.preventOverflow;\n var referenceOverflow = detectOverflow(state, {\n elementContext: 'reference'\n });\n var popperAltOverflow = detectOverflow(state, {\n altBoundary: true\n });\n var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n state.modifiersData[name] = {\n referenceClippingOffsets: referenceClippingOffsets,\n popperEscapeOffsets: popperEscapeOffsets,\n isReferenceHidden: isReferenceHidden,\n hasPopperEscaped: hasPopperEscaped\n };\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-reference-hidden': isReferenceHidden,\n 'data-popper-escaped': hasPopperEscaped\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'hide',\n enabled: true,\n phase: 'main',\n requiresIfExists: ['preventOverflow'],\n fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n var basePlacement = getBasePlacement(placement);\n var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n placement: placement\n })) : offset,\n skidding = _ref[0],\n distance = _ref[1];\n\n skidding = skidding || 0;\n distance = (distance || 0) * invertDistance;\n return [left, right].indexOf(basePlacement) >= 0 ? {\n x: distance,\n y: skidding\n } : {\n x: skidding,\n y: distance\n };\n}\n\nfunction offset(_ref2) {\n var state = _ref2.state,\n options = _ref2.options,\n name = _ref2.name;\n var _options$offset = options.offset,\n offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n var data = placements.reduce(function (acc, placement) {\n acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n return acc;\n }, {});\n var _data$state$placement = data[state.placement],\n x = _data$state$placement.x,\n y = _data$state$placement.y;\n\n if (state.modifiersData.popperOffsets != null) {\n state.modifiersData.popperOffsets.x += x;\n state.modifiersData.popperOffsets.y += y;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'offset',\n enabled: true,\n phase: 'main',\n requires: ['popperOffsets'],\n fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n var state = _ref.state,\n name = _ref.name;\n // Offsets are the actual position the popper needs to have to be\n // properly positioned near its reference element\n // This is the most basic placement, and will be adjusted by\n // the modifiers in the next step\n state.modifiersData[name] = computeOffsets({\n reference: state.rects.reference,\n element: state.rects.popper,\n strategy: 'absolute',\n placement: state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'popperOffsets',\n enabled: true,\n phase: 'read',\n fn: popperOffsets,\n data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n padding = options.padding,\n _options$tether = options.tether,\n tether = _options$tether === void 0 ? true : _options$tether,\n _options$tetherOffset = options.tetherOffset,\n tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n var overflow = detectOverflow(state, {\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n altBoundary: altBoundary\n });\n var basePlacement = getBasePlacement(state.placement);\n var variation = getVariation(state.placement);\n var isBasePlacement = !variation;\n var mainAxis = getMainAxisFromPlacement(basePlacement);\n var altAxis = getAltAxis(mainAxis);\n var popperOffsets = state.modifiersData.popperOffsets;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n placement: state.placement\n })) : tetherOffset;\n var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n mainAxis: tetherOffsetValue,\n altAxis: tetherOffsetValue\n } : Object.assign({\n mainAxis: 0,\n altAxis: 0\n }, tetherOffsetValue);\n var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n var data = {\n x: 0,\n y: 0\n };\n\n if (!popperOffsets) {\n return;\n }\n\n if (checkMainAxis) {\n var _offsetModifierState$;\n\n var mainSide = mainAxis === 'y' ? top : left;\n var altSide = mainAxis === 'y' ? bottom : right;\n var len = mainAxis === 'y' ? 'height' : 'width';\n var offset = popperOffsets[mainAxis];\n var min = offset + overflow[mainSide];\n var max = offset - overflow[altSide];\n var additive = tether ? -popperRect[len] / 2 : 0;\n var minLen = variation === start ? referenceRect[len] : popperRect[len];\n var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n // outside the reference bounds\n\n var arrowElement = state.elements.arrow;\n var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n width: 0,\n height: 0\n };\n var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n var arrowPaddingMin = arrowPaddingObject[mainSide];\n var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n // to include its full size in the calculation. If the reference is small\n // and near the edge of a boundary, the popper can overflow even if the\n // reference is not overflowing as well (e.g. virtual elements with no\n // width or height)\n\n var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n var tetherMax = offset + maxOffset - offsetModifierValue;\n var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n popperOffsets[mainAxis] = preventedOffset;\n data[mainAxis] = preventedOffset - offset;\n }\n\n if (checkAltAxis) {\n var _offsetModifierState$2;\n\n var _mainSide = mainAxis === 'x' ? top : left;\n\n var _altSide = mainAxis === 'x' ? bottom : right;\n\n var _offset = popperOffsets[altAxis];\n\n var _len = altAxis === 'y' ? 'height' : 'width';\n\n var _min = _offset + overflow[_mainSide];\n\n var _max = _offset - overflow[_altSide];\n\n var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n popperOffsets[altAxis] = _preventedOffset;\n data[altAxis] = _preventedOffset - _offset;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'preventOverflow',\n enabled: true,\n phase: 'main',\n fn: preventOverflow,\n requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n var rect = element.getBoundingClientRect();\n var scaleX = round(rect.width) / element.offsetWidth || 1;\n var scaleY = round(rect.height) / element.offsetHeight || 1;\n return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n if (isFixed === void 0) {\n isFixed = false;\n }\n\n var isOffsetParentAnElement = isHTMLElement(offsetParent);\n var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n var documentElement = getDocumentElement(offsetParent);\n var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n var scroll = {\n scrollLeft: 0,\n scrollTop: 0\n };\n var offsets = {\n x: 0,\n y: 0\n };\n\n if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n isScrollParent(documentElement)) {\n scroll = getNodeScroll(offsetParent);\n }\n\n if (isHTMLElement(offsetParent)) {\n offsets = getBoundingClientRect(offsetParent, true);\n offsets.x += offsetParent.clientLeft;\n offsets.y += offsetParent.clientTop;\n } else if (documentElement) {\n offsets.x = getWindowScrollBarX(documentElement);\n }\n }\n\n return {\n x: rect.left + scroll.scrollLeft - offsets.x,\n y: rect.top + scroll.scrollTop - offsets.y,\n width: rect.width,\n height: rect.height\n };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n if (node === getWindow(node) || !isHTMLElement(node)) {\n return getWindowScroll(node);\n } else {\n return getHTMLElementScroll(node);\n }\n}","export default function getHTMLElementScroll(element) {\n return {\n scrollLeft: element.scrollLeft,\n scrollTop: element.scrollTop\n };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n var map = new Map();\n var visited = new Set();\n var result = [];\n modifiers.forEach(function (modifier) {\n map.set(modifier.name, modifier);\n }); // On visiting object, check for its dependencies and visit them recursively\n\n function sort(modifier) {\n visited.add(modifier.name);\n var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n requires.forEach(function (dep) {\n if (!visited.has(dep)) {\n var depModifier = map.get(dep);\n\n if (depModifier) {\n sort(depModifier);\n }\n }\n });\n result.push(modifier);\n }\n\n modifiers.forEach(function (modifier) {\n if (!visited.has(modifier.name)) {\n // check for visited object\n sort(modifier);\n }\n });\n return result;\n}\n\nexport default function orderModifiers(modifiers) {\n // order based on dependencies\n var orderedModifiers = order(modifiers); // order based on phase\n\n return modifierPhases.reduce(function (acc, phase) {\n return acc.concat(orderedModifiers.filter(function (modifier) {\n return modifier.phase === phase;\n }));\n }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n placement: 'bottom',\n modifiers: [],\n strategy: 'absolute'\n};\n\nfunction areValidElements() {\n for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n\n return !args.some(function (element) {\n return !(element && typeof element.getBoundingClientRect === 'function');\n });\n}\n\nexport function popperGenerator(generatorOptions) {\n if (generatorOptions === void 0) {\n generatorOptions = {};\n }\n\n var _generatorOptions = generatorOptions,\n _generatorOptions$def = _generatorOptions.defaultModifiers,\n defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n _generatorOptions$def2 = _generatorOptions.defaultOptions,\n defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n return function createPopper(reference, popper, options) {\n if (options === void 0) {\n options = defaultOptions;\n }\n\n var state = {\n placement: 'bottom',\n orderedModifiers: [],\n options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n modifiersData: {},\n elements: {\n reference: reference,\n popper: popper\n },\n attributes: {},\n styles: {}\n };\n var effectCleanupFns = [];\n var isDestroyed = false;\n var instance = {\n state: state,\n setOptions: function setOptions(setOptionsAction) {\n var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n cleanupModifierEffects();\n state.options = Object.assign({}, defaultOptions, state.options, options);\n state.scrollParents = {\n reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n popper: listScrollParents(popper)\n }; // Orders the modifiers based on their dependencies and `phase`\n // properties\n\n var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n state.orderedModifiers = orderedModifiers.filter(function (m) {\n return m.enabled;\n });\n runModifierEffects();\n return instance.update();\n },\n // Sync update – it will always be executed, even if not necessary. This\n // is useful for low frequency updates where sync behavior simplifies the\n // logic.\n // For high frequency updates (e.g. `resize` and `scroll` events), always\n // prefer the async Popper#update method\n forceUpdate: function forceUpdate() {\n if (isDestroyed) {\n return;\n }\n\n var _state$elements = state.elements,\n reference = _state$elements.reference,\n popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n // anymore\n\n if (!areValidElements(reference, popper)) {\n return;\n } // Store the reference and popper rects to be read by modifiers\n\n\n state.rects = {\n reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n popper: getLayoutRect(popper)\n }; // Modifiers have the ability to reset the current update cycle. The\n // most common use case for this is the `flip` modifier changing the\n // placement, which then needs to re-run all the modifiers, because the\n // logic was previously ran for the previous placement and is therefore\n // stale/incorrect\n\n state.reset = false;\n state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n // is filled with the initial data specified by the modifier. This means\n // it doesn't persist and is fresh on each update.\n // To ensure persistent data, use `${name}#persistent`\n\n state.orderedModifiers.forEach(function (modifier) {\n return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n });\n\n for (var index = 0; index < state.orderedModifiers.length; index++) {\n if (state.reset === true) {\n state.reset = false;\n index = -1;\n continue;\n }\n\n var _state$orderedModifie = state.orderedModifiers[index],\n fn = _state$orderedModifie.fn,\n _state$orderedModifie2 = _state$orderedModifie.options,\n _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n name = _state$orderedModifie.name;\n\n if (typeof fn === 'function') {\n state = fn({\n state: state,\n options: _options,\n name: name,\n instance: instance\n }) || state;\n }\n }\n },\n // Async and optimistically optimized update – it will not be executed if\n // not necessary (debounced to run at most once-per-tick)\n update: debounce(function () {\n return new Promise(function (resolve) {\n instance.forceUpdate();\n resolve(state);\n });\n }),\n destroy: function destroy() {\n cleanupModifierEffects();\n isDestroyed = true;\n }\n };\n\n if (!areValidElements(reference, popper)) {\n return instance;\n }\n\n instance.setOptions(options).then(function (state) {\n if (!isDestroyed && options.onFirstUpdate) {\n options.onFirstUpdate(state);\n }\n }); // Modifiers have the ability to execute arbitrary code before the first\n // update cycle runs. They will be executed in the same order as the update\n // cycle. This is useful when a modifier adds some persistent data that\n // other modifiers need to use, but the modifier is run after the dependent\n // one.\n\n function runModifierEffects() {\n state.orderedModifiers.forEach(function (_ref) {\n var name = _ref.name,\n _ref$options = _ref.options,\n options = _ref$options === void 0 ? {} : _ref$options,\n effect = _ref.effect;\n\n if (typeof effect === 'function') {\n var cleanupFn = effect({\n state: state,\n name: name,\n instance: instance,\n options: options\n });\n\n var noopFn = function noopFn() {};\n\n effectCleanupFns.push(cleanupFn || noopFn);\n }\n });\n }\n\n function cleanupModifierEffects() {\n effectCleanupFns.forEach(function (fn) {\n return fn();\n });\n effectCleanupFns = [];\n }\n\n return instance;\n };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n var pending;\n return function () {\n if (!pending) {\n pending = new Promise(function (resolve) {\n Promise.resolve().then(function () {\n pending = undefined;\n resolve(fn());\n });\n });\n }\n\n return pending;\n };\n}","export default function mergeByName(modifiers) {\n var merged = modifiers.reduce(function (merged, current) {\n var existing = merged[current.name];\n merged[current.name] = existing ? Object.assign({}, existing, current, {\n options: Object.assign({}, existing.options, current.options),\n data: Object.assign({}, existing.data, current.data)\n }) : current;\n return merged;\n }, {}); // IE11 does not support Object.values\n\n return Object.keys(merged).map(function (key) {\n return merged[key];\n });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n defineJQueryPlugin,\n execute,\n getElement,\n getNextActiveElement,\n isDisabled,\n isElement,\n isRTL,\n isVisible,\n noop\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'dropdown'\nconst DATA_KEY = 'bs.dropdown'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ESCAPE_KEY = 'Escape'\nconst TAB_KEY = 'Tab'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst RIGHT_MOUSE_BUTTON = 2 // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_DROPUP = 'dropup'\nconst CLASS_NAME_DROPEND = 'dropend'\nconst CLASS_NAME_DROPSTART = 'dropstart'\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center'\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center'\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)'\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE}.${CLASS_NAME_SHOW}`\nconst SELECTOR_MENU = '.dropdown-menu'\nconst SELECTOR_NAVBAR = '.navbar'\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav'\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)'\n\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start'\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end'\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start'\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end'\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start'\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start'\nconst PLACEMENT_TOPCENTER = 'top'\nconst PLACEMENT_BOTTOMCENTER = 'bottom'\n\nconst Default = {\n autoClose: true,\n boundary: 'clippingParents',\n display: 'dynamic',\n offset: [0, 2],\n popperConfig: null,\n reference: 'toggle'\n}\n\nconst DefaultType = {\n autoClose: '(boolean|string)',\n boundary: '(string|element)',\n display: 'string',\n offset: '(array|string|function)',\n popperConfig: '(null|object|function)',\n reference: '(string|element|object)'\n}\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._popper = null\n this._parent = this._element.parentNode // dropdown wrapper\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] ||\n SelectorEngine.prev(this._element, SELECTOR_MENU)[0] ||\n SelectorEngine.findOne(SELECTOR_MENU, this._parent)\n this._inNavbar = this._detectNavbar()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle() {\n return this._isShown() ? this.hide() : this.show()\n }\n\n show() {\n if (isDisabled(this._element) || this._isShown()) {\n return\n }\n\n const relatedTarget = {\n relatedTarget: this._element\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, relatedTarget)\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._createPopper()\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop)\n }\n }\n\n this._element.focus()\n this._element.setAttribute('aria-expanded', true)\n\n this._menu.classList.add(CLASS_NAME_SHOW)\n this._element.classList.add(CLASS_NAME_SHOW)\n EventHandler.trigger(this._element, EVENT_SHOWN, relatedTarget)\n }\n\n hide() {\n if (isDisabled(this._element) || !this._isShown()) {\n return\n }\n\n const relatedTarget = {\n relatedTarget: this._element\n }\n\n this._completeHide(relatedTarget)\n }\n\n dispose() {\n if (this._popper) {\n this._popper.destroy()\n }\n\n super.dispose()\n }\n\n update() {\n this._inNavbar = this._detectNavbar()\n if (this._popper) {\n this._popper.update()\n }\n }\n\n // Private\n _completeHide(relatedTarget) {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE, relatedTarget)\n if (hideEvent.defaultPrevented) {\n return\n }\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop)\n }\n }\n\n if (this._popper) {\n this._popper.destroy()\n }\n\n this._menu.classList.remove(CLASS_NAME_SHOW)\n this._element.classList.remove(CLASS_NAME_SHOW)\n this._element.setAttribute('aria-expanded', 'false')\n Manipulator.removeDataAttribute(this._menu, 'popper')\n EventHandler.trigger(this._element, EVENT_HIDDEN, relatedTarget)\n }\n\n _getConfig(config) {\n config = super._getConfig(config)\n\n if (typeof config.reference === 'object' && !isElement(config.reference) &&\n typeof config.reference.getBoundingClientRect !== 'function'\n ) {\n // Popper virtual elements require a getBoundingClientRect method\n throw new TypeError(`${NAME.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`)\n }\n\n return config\n }\n\n _createPopper() {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)')\n }\n\n let referenceElement = this._element\n\n if (this._config.reference === 'parent') {\n referenceElement = this._parent\n } else if (isElement(this._config.reference)) {\n referenceElement = getElement(this._config.reference)\n } else if (typeof this._config.reference === 'object') {\n referenceElement = this._config.reference\n }\n\n const popperConfig = this._getPopperConfig()\n this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig)\n }\n\n _isShown() {\n return this._menu.classList.contains(CLASS_NAME_SHOW)\n }\n\n _getPlacement() {\n const parentDropdown = this._parent\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n return PLACEMENT_RIGHT\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n return PLACEMENT_LEFT\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n return PLACEMENT_TOPCENTER\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n return PLACEMENT_BOTTOMCENTER\n }\n\n // We need to trim the value because custom properties can also include spaces\n const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end'\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP\n }\n\n return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM\n }\n\n _detectNavbar() {\n return this._element.closest(SELECTOR_NAVBAR) !== null\n }\n\n _getOffset() {\n const { offset } = this._config\n\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10))\n }\n\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element)\n }\n\n return offset\n }\n\n _getPopperConfig() {\n const defaultBsPopperConfig = {\n placement: this._getPlacement(),\n modifiers: [{\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n },\n {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n }]\n }\n\n // Disable Popper if we have a static display or Dropdown is in Navbar\n if (this._inNavbar || this._config.display === 'static') {\n Manipulator.setDataAttribute(this._menu, 'popper', 'static') // TODO: v6 remove\n defaultBsPopperConfig.modifiers = [{\n name: 'applyStyles',\n enabled: false\n }]\n }\n\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n }\n }\n\n _selectMenuItem({ key, target }) {\n const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element))\n\n if (!items.length) {\n return\n }\n\n // if target isn't included in items (e.g. when expanding the dropdown)\n // allow cycling to get the last item in case key equals ARROW_UP_KEY\n getNextActiveElement(items, target, key === ARROW_DOWN_KEY, !items.includes(target)).focus()\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Dropdown.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n\n static clearMenus(event) {\n if (event.button === RIGHT_MOUSE_BUTTON || (event.type === 'keyup' && event.key !== TAB_KEY)) {\n return\n }\n\n const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN)\n\n for (const toggle of openToggles) {\n const context = Dropdown.getInstance(toggle)\n if (!context || context._config.autoClose === false) {\n continue\n }\n\n const composedPath = event.composedPath()\n const isMenuTarget = composedPath.includes(context._menu)\n if (\n composedPath.includes(context._element) ||\n (context._config.autoClose === 'inside' && !isMenuTarget) ||\n (context._config.autoClose === 'outside' && isMenuTarget)\n ) {\n continue\n }\n\n // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n if (context._menu.contains(event.target) && ((event.type === 'keyup' && event.key === TAB_KEY) || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n continue\n }\n\n const relatedTarget = { relatedTarget: context._element }\n\n if (event.type === 'click') {\n relatedTarget.clickEvent = event\n }\n\n context._completeHide(relatedTarget)\n }\n }\n\n static dataApiKeydownHandler(event) {\n // If not an UP | DOWN | ESCAPE key => not a dropdown command\n // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n const isInput = /input|textarea/i.test(event.target.tagName)\n const isEscapeEvent = event.key === ESCAPE_KEY\n const isUpOrDownEvent = [ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key)\n\n if (!isUpOrDownEvent && !isEscapeEvent) {\n return\n }\n\n if (isInput && !isEscapeEvent) {\n return\n }\n\n event.preventDefault()\n\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE) ?\n this :\n (SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE)[0] ||\n SelectorEngine.next(this, SELECTOR_DATA_TOGGLE)[0] ||\n SelectorEngine.findOne(SELECTOR_DATA_TOGGLE, event.delegateTarget.parentNode))\n\n const instance = Dropdown.getOrCreateInstance(getToggleButton)\n\n if (isUpOrDownEvent) {\n event.stopPropagation()\n instance.show()\n instance._selectMenuItem(event)\n return\n }\n\n if (instance._isShown()) { // else is escape and we check if it is shown\n event.stopPropagation()\n instance.hide()\n getToggleButton.focus()\n }\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_CLICK_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n event.preventDefault()\n Dropdown.getOrCreateInstance(this).toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown)\n\nexport default Dropdown\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute, executeAfterTransition, getElement, reflow } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'backdrop'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME}`\n\nconst Default = {\n className: 'modal-backdrop',\n clickCallback: null,\n isAnimated: false,\n isVisible: true, // if false, we use the backdrop helper without adding any element to the dom\n rootElement: 'body' // give the choice to place backdrop under different elements\n}\n\nconst DefaultType = {\n className: 'string',\n clickCallback: '(function|null)',\n isAnimated: 'boolean',\n isVisible: 'boolean',\n rootElement: '(element|string)'\n}\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n constructor(config) {\n super()\n this._config = this._getConfig(config)\n this._isAppended = false\n this._element = null\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n show(callback) {\n if (!this._config.isVisible) {\n execute(callback)\n return\n }\n\n this._append()\n\n const element = this._getElement()\n if (this._config.isAnimated) {\n reflow(element)\n }\n\n element.classList.add(CLASS_NAME_SHOW)\n\n this._emulateAnimation(() => {\n execute(callback)\n })\n }\n\n hide(callback) {\n if (!this._config.isVisible) {\n execute(callback)\n return\n }\n\n this._getElement().classList.remove(CLASS_NAME_SHOW)\n\n this._emulateAnimation(() => {\n this.dispose()\n execute(callback)\n })\n }\n\n dispose() {\n if (!this._isAppended) {\n return\n }\n\n EventHandler.off(this._element, EVENT_MOUSEDOWN)\n\n this._element.remove()\n this._isAppended = false\n }\n\n // Private\n _getElement() {\n if (!this._element) {\n const backdrop = document.createElement('div')\n backdrop.className = this._config.className\n if (this._config.isAnimated) {\n backdrop.classList.add(CLASS_NAME_FADE)\n }\n\n this._element = backdrop\n }\n\n return this._element\n }\n\n _configAfterMerge(config) {\n // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n config.rootElement = getElement(config.rootElement)\n return config\n }\n\n _append() {\n if (this._isAppended) {\n return\n }\n\n const element = this._getElement()\n this._config.rootElement.append(element)\n\n EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n execute(this._config.clickCallback)\n })\n\n this._isAppended = true\n }\n\n _emulateAnimation(callback) {\n executeAfterTransition(callback, this._getElement(), this._config.isAnimated)\n }\n}\n\nexport default Backdrop\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'focustrap'\nconst DATA_KEY = 'bs.focustrap'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY}`\n\nconst TAB_KEY = 'Tab'\nconst TAB_NAV_FORWARD = 'forward'\nconst TAB_NAV_BACKWARD = 'backward'\n\nconst Default = {\n autofocus: true,\n trapElement: null // The element to trap focus inside of\n}\n\nconst DefaultType = {\n autofocus: 'boolean',\n trapElement: 'element'\n}\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n constructor(config) {\n super()\n this._config = this._getConfig(config)\n this._isActive = false\n this._lastTabNavDirection = null\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n activate() {\n if (this._isActive) {\n return\n }\n\n if (this._config.autofocus) {\n this._config.trapElement.focus()\n }\n\n EventHandler.off(document, EVENT_KEY) // guard against infinite focus loop\n EventHandler.on(document, EVENT_FOCUSIN, event => this._handleFocusin(event))\n EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event))\n\n this._isActive = true\n }\n\n deactivate() {\n if (!this._isActive) {\n return\n }\n\n this._isActive = false\n EventHandler.off(document, EVENT_KEY)\n }\n\n // Private\n _handleFocusin(event) {\n const { trapElement } = this._config\n\n if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n return\n }\n\n const elements = SelectorEngine.focusableChildren(trapElement)\n\n if (elements.length === 0) {\n trapElement.focus()\n } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n elements[elements.length - 1].focus()\n } else {\n elements[0].focus()\n }\n }\n\n _handleKeydown(event) {\n if (event.key !== TAB_KEY) {\n return\n }\n\n this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD\n }\n}\n\nexport default FocusTrap\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top'\nconst SELECTOR_STICKY_CONTENT = '.sticky-top'\nconst PROPERTY_PADDING = 'padding-right'\nconst PROPERTY_MARGIN = 'margin-right'\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n constructor() {\n this._element = document.body\n }\n\n // Public\n getWidth() {\n // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n const documentWidth = document.documentElement.clientWidth\n return Math.abs(window.innerWidth - documentWidth)\n }\n\n hide() {\n const width = this.getWidth()\n this._disableOverFlow()\n // give padding to element to balance the hidden scrollbar width\n this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width)\n }\n\n reset() {\n this._resetElementAttributes(this._element, 'overflow')\n this._resetElementAttributes(this._element, PROPERTY_PADDING)\n this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING)\n this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN)\n }\n\n isOverflowing() {\n return this.getWidth() > 0\n }\n\n // Private\n _disableOverFlow() {\n this._saveInitialAttribute(this._element, 'overflow')\n this._element.style.overflow = 'hidden'\n }\n\n _setElementAttributes(selector, styleProperty, callback) {\n const scrollbarWidth = this.getWidth()\n const manipulationCallBack = element => {\n if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n return\n }\n\n this._saveInitialAttribute(element, styleProperty)\n const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty)\n element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`)\n }\n\n this._applyManipulationCallback(selector, manipulationCallBack)\n }\n\n _saveInitialAttribute(element, styleProperty) {\n const actualValue = element.style.getPropertyValue(styleProperty)\n if (actualValue) {\n Manipulator.setDataAttribute(element, styleProperty, actualValue)\n }\n }\n\n _resetElementAttributes(selector, styleProperty) {\n const manipulationCallBack = element => {\n const value = Manipulator.getDataAttribute(element, styleProperty)\n // We only want to remove the property if the value is `null`; the value can also be zero\n if (value === null) {\n element.style.removeProperty(styleProperty)\n return\n }\n\n Manipulator.removeDataAttribute(element, styleProperty)\n element.style.setProperty(styleProperty, value)\n }\n\n this._applyManipulationCallback(selector, manipulationCallBack)\n }\n\n _applyManipulationCallback(selector, callBack) {\n if (isElement(selector)) {\n callBack(selector)\n return\n }\n\n for (const sel of SelectorEngine.find(selector, this._element)) {\n callBack(sel)\n }\n }\n}\n\nexport default ScrollBarHelper\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport { defineJQueryPlugin, isRTL, isVisible, reflow } from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'modal'\nconst DATA_KEY = 'bs.modal'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst ESCAPE_KEY = 'Escape'\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_OPEN = 'modal-open'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_STATIC = 'modal-static'\n\nconst OPEN_SELECTOR = '.modal.show'\nconst SELECTOR_DIALOG = '.modal-dialog'\nconst SELECTOR_MODAL_BODY = '.modal-body'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"modal\"]'\n\nconst Default = {\n backdrop: true,\n focus: true,\n keyboard: true\n}\n\nconst DefaultType = {\n backdrop: '(boolean|string)',\n focus: 'boolean',\n keyboard: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element)\n this._backdrop = this._initializeBackDrop()\n this._focustrap = this._initializeFocusTrap()\n this._isShown = false\n this._isTransitioning = false\n this._scrollBar = new ScrollBarHelper()\n\n this._addEventListeners()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget)\n }\n\n show(relatedTarget) {\n if (this._isShown || this._isTransitioning) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, {\n relatedTarget\n })\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._isShown = true\n this._isTransitioning = true\n\n this._scrollBar.hide()\n\n document.body.classList.add(CLASS_NAME_OPEN)\n\n this._adjustDialog()\n\n this._backdrop.show(() => this._showElement(relatedTarget))\n }\n\n hide() {\n if (!this._isShown || this._isTransitioning) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n if (hideEvent.defaultPrevented) {\n return\n }\n\n this._isShown = false\n this._isTransitioning = true\n this._focustrap.deactivate()\n\n this._element.classList.remove(CLASS_NAME_SHOW)\n\n this._queueCallback(() => this._hideModal(), this._element, this._isAnimated())\n }\n\n dispose() {\n EventHandler.off(window, EVENT_KEY)\n EventHandler.off(this._dialog, EVENT_KEY)\n\n this._backdrop.dispose()\n this._focustrap.deactivate()\n\n super.dispose()\n }\n\n handleUpdate() {\n this._adjustDialog()\n }\n\n // Private\n _initializeBackDrop() {\n return new Backdrop({\n isVisible: Boolean(this._config.backdrop), // 'static' option will be translated to true, and booleans will keep their value,\n isAnimated: this._isAnimated()\n })\n }\n\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n })\n }\n\n _showElement(relatedTarget) {\n // try to append dynamic modal\n if (!document.body.contains(this._element)) {\n document.body.append(this._element)\n }\n\n this._element.style.display = 'block'\n this._element.removeAttribute('aria-hidden')\n this._element.setAttribute('aria-modal', true)\n this._element.setAttribute('role', 'dialog')\n this._element.scrollTop = 0\n\n const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog)\n if (modalBody) {\n modalBody.scrollTop = 0\n }\n\n reflow(this._element)\n\n this._element.classList.add(CLASS_NAME_SHOW)\n\n const transitionComplete = () => {\n if (this._config.focus) {\n this._focustrap.activate()\n }\n\n this._isTransitioning = false\n EventHandler.trigger(this._element, EVENT_SHOWN, {\n relatedTarget\n })\n }\n\n this._queueCallback(transitionComplete, this._dialog, this._isAnimated())\n }\n\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (event.key !== ESCAPE_KEY) {\n return\n }\n\n if (this._config.keyboard) {\n this.hide()\n return\n }\n\n this._triggerBackdropTransition()\n })\n\n EventHandler.on(window, EVENT_RESIZE, () => {\n if (this._isShown && !this._isTransitioning) {\n this._adjustDialog()\n }\n })\n\n EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n if (this._element !== event.target || this._element !== event2.target) {\n return\n }\n\n if (this._config.backdrop === 'static') {\n this._triggerBackdropTransition()\n return\n }\n\n if (this._config.backdrop) {\n this.hide()\n }\n })\n })\n }\n\n _hideModal() {\n this._element.style.display = 'none'\n this._element.setAttribute('aria-hidden', true)\n this._element.removeAttribute('aria-modal')\n this._element.removeAttribute('role')\n this._isTransitioning = false\n\n this._backdrop.hide(() => {\n document.body.classList.remove(CLASS_NAME_OPEN)\n this._resetAdjustments()\n this._scrollBar.reset()\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n })\n }\n\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_FADE)\n }\n\n _triggerBackdropTransition() {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n if (hideEvent.defaultPrevented) {\n return\n }\n\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n const initialOverflowY = this._element.style.overflowY\n // return if the following background transition hasn't yet completed\n if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n return\n }\n\n if (!isModalOverflowing) {\n this._element.style.overflowY = 'hidden'\n }\n\n this._element.classList.add(CLASS_NAME_STATIC)\n this._queueCallback(() => {\n this._element.classList.remove(CLASS_NAME_STATIC)\n this._queueCallback(() => {\n this._element.style.overflowY = initialOverflowY\n }, this._dialog)\n }, this._dialog)\n\n this._element.focus()\n }\n\n /**\n * The following methods are used to handle overflowing modals\n */\n\n _adjustDialog() {\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n const scrollbarWidth = this._scrollBar.getWidth()\n const isBodyOverflowing = scrollbarWidth > 0\n\n if (isBodyOverflowing && !isModalOverflowing) {\n const property = isRTL() ? 'paddingLeft' : 'paddingRight'\n this._element.style[property] = `${scrollbarWidth}px`\n }\n\n if (!isBodyOverflowing && isModalOverflowing) {\n const property = isRTL() ? 'paddingRight' : 'paddingLeft'\n this._element.style[property] = `${scrollbarWidth}px`\n }\n }\n\n _resetAdjustments() {\n this._element.style.paddingLeft = ''\n this._element.style.paddingRight = ''\n }\n\n // Static\n static jQueryInterface(config, relatedTarget) {\n return this.each(function () {\n const data = Modal.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](relatedTarget)\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this)\n\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n EventHandler.one(target, EVENT_SHOW, showEvent => {\n if (showEvent.defaultPrevented) {\n // only register focus restorer if modal will actually get shown\n return\n }\n\n EventHandler.one(target, EVENT_HIDDEN, () => {\n if (isVisible(this)) {\n this.focus()\n }\n })\n })\n\n // avoid conflict when clicking modal toggler while another one is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n if (alreadyOpen) {\n Modal.getInstance(alreadyOpen).hide()\n }\n\n const data = Modal.getOrCreateInstance(target)\n\n data.toggle(this)\n})\n\nenableDismissTrigger(Modal)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal)\n\nexport default Modal\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport {\n defineJQueryPlugin,\n isDisabled,\n isVisible\n} from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'offcanvas'\nconst DATA_KEY = 'bs.offcanvas'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst ESCAPE_KEY = 'Escape'\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\nconst CLASS_NAME_HIDING = 'hiding'\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop'\nconst OPEN_SELECTOR = '.offcanvas.show'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"offcanvas\"]'\n\nconst Default = {\n backdrop: true,\n keyboard: true,\n scroll: false\n}\n\nconst DefaultType = {\n backdrop: '(boolean|string)',\n keyboard: 'boolean',\n scroll: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._isShown = false\n this._backdrop = this._initializeBackDrop()\n this._focustrap = this._initializeFocusTrap()\n this._addEventListeners()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget)\n }\n\n show(relatedTarget) {\n if (this._isShown) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, { relatedTarget })\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._isShown = true\n this._backdrop.show()\n\n if (!this._config.scroll) {\n new ScrollBarHelper().hide()\n }\n\n this._element.setAttribute('aria-modal', true)\n this._element.setAttribute('role', 'dialog')\n this._element.classList.add(CLASS_NAME_SHOWING)\n\n const completeCallBack = () => {\n if (!this._config.scroll || this._config.backdrop) {\n this._focustrap.activate()\n }\n\n this._element.classList.add(CLASS_NAME_SHOW)\n this._element.classList.remove(CLASS_NAME_SHOWING)\n EventHandler.trigger(this._element, EVENT_SHOWN, { relatedTarget })\n }\n\n this._queueCallback(completeCallBack, this._element, true)\n }\n\n hide() {\n if (!this._isShown) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n if (hideEvent.defaultPrevented) {\n return\n }\n\n this._focustrap.deactivate()\n this._element.blur()\n this._isShown = false\n this._element.classList.add(CLASS_NAME_HIDING)\n this._backdrop.hide()\n\n const completeCallback = () => {\n this._element.classList.remove(CLASS_NAME_SHOW, CLASS_NAME_HIDING)\n this._element.removeAttribute('aria-modal')\n this._element.removeAttribute('role')\n\n if (!this._config.scroll) {\n new ScrollBarHelper().reset()\n }\n\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n }\n\n this._queueCallback(completeCallback, this._element, true)\n }\n\n dispose() {\n this._backdrop.dispose()\n this._focustrap.deactivate()\n super.dispose()\n }\n\n // Private\n _initializeBackDrop() {\n const clickCallback = () => {\n if (this._config.backdrop === 'static') {\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n return\n }\n\n this.hide()\n }\n\n // 'static' option will be translated to true, and booleans will keep their value\n const isVisible = Boolean(this._config.backdrop)\n\n return new Backdrop({\n className: CLASS_NAME_BACKDROP,\n isVisible,\n isAnimated: true,\n rootElement: this._element.parentNode,\n clickCallback: isVisible ? clickCallback : null\n })\n }\n\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n })\n }\n\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (event.key !== ESCAPE_KEY) {\n return\n }\n\n if (this._config.keyboard) {\n this.hide()\n return\n }\n\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n })\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Offcanvas.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](this)\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this)\n\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n if (isDisabled(this)) {\n return\n }\n\n EventHandler.one(target, EVENT_HIDDEN, () => {\n // focus on trigger when it is closed\n if (isVisible(this)) {\n this.focus()\n }\n })\n\n // avoid conflict when clicking a toggler of an offcanvas, while another is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n if (alreadyOpen && alreadyOpen !== target) {\n Offcanvas.getInstance(alreadyOpen).hide()\n }\n\n const data = Offcanvas.getOrCreateInstance(target)\n data.toggle(this)\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n Offcanvas.getOrCreateInstance(selector).show()\n }\n})\n\nEventHandler.on(window, EVENT_RESIZE, () => {\n for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n if (getComputedStyle(element).position !== 'fixed') {\n Offcanvas.getOrCreateInstance(element).hide()\n }\n }\n})\n\nenableDismissTrigger(Offcanvas)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas)\n\nexport default Offcanvas\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\nexport const DefaultAllowlist = {\n // Global attributes allowed on any supplied element below.\n '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n a: ['target', 'href', 'title', 'rel'],\n area: [],\n b: [],\n br: [],\n col: [],\n code: [],\n div: [],\n em: [],\n hr: [],\n h1: [],\n h2: [],\n h3: [],\n h4: [],\n h5: [],\n h6: [],\n i: [],\n img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n li: [],\n ol: [],\n p: [],\n pre: [],\n s: [],\n small: [],\n span: [],\n sub: [],\n sup: [],\n strong: [],\n u: [],\n ul: []\n}\n// js-docs-end allow-list\n\nconst uriAttributes = new Set([\n 'background',\n 'cite',\n 'href',\n 'itemtype',\n 'longdesc',\n 'poster',\n 'src',\n 'xlink:href'\n])\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i\n\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n const attributeName = attribute.nodeName.toLowerCase()\n\n if (allowedAttributeList.includes(attributeName)) {\n if (uriAttributes.has(attributeName)) {\n return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue))\n }\n\n return true\n }\n\n // Check if a regular expression validates the attribute.\n return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp)\n .some(regex => regex.test(attributeName))\n}\n\nexport function sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n if (!unsafeHtml.length) {\n return unsafeHtml\n }\n\n if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n return sanitizeFunction(unsafeHtml)\n }\n\n const domParser = new window.DOMParser()\n const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html')\n const elements = [].concat(...createdDocument.body.querySelectorAll('*'))\n\n for (const element of elements) {\n const elementName = element.nodeName.toLowerCase()\n\n if (!Object.keys(allowList).includes(elementName)) {\n element.remove()\n continue\n }\n\n const attributeList = [].concat(...element.attributes)\n const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || [])\n\n for (const attribute of attributeList) {\n if (!allowedAttribute(attribute, allowedAttributes)) {\n element.removeAttribute(attribute.nodeName)\n }\n }\n }\n\n return createdDocument.body.innerHTML\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\nimport { DefaultAllowlist, sanitizeHtml } from './sanitizer.js'\nimport { execute, getElement, isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'TemplateFactory'\n\nconst Default = {\n allowList: DefaultAllowlist,\n content: {}, // { selector : text , selector2 : text2 , }\n extraClass: '',\n html: false,\n sanitize: true,\n sanitizeFn: null,\n template: '
'\n}\n\nconst DefaultType = {\n allowList: 'object',\n content: 'object',\n extraClass: '(string|function)',\n html: 'boolean',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n template: 'string'\n}\n\nconst DefaultContentType = {\n entry: '(string|element|function|null)',\n selector: '(string|element)'\n}\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n constructor(config) {\n super()\n this._config = this._getConfig(config)\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n getContent() {\n return Object.values(this._config.content)\n .map(config => this._resolvePossibleFunction(config))\n .filter(Boolean)\n }\n\n hasContent() {\n return this.getContent().length > 0\n }\n\n changeContent(content) {\n this._checkContent(content)\n this._config.content = { ...this._config.content, ...content }\n return this\n }\n\n toHtml() {\n const templateWrapper = document.createElement('div')\n templateWrapper.innerHTML = this._maybeSanitize(this._config.template)\n\n for (const [selector, text] of Object.entries(this._config.content)) {\n this._setContent(templateWrapper, text, selector)\n }\n\n const template = templateWrapper.children[0]\n const extraClass = this._resolvePossibleFunction(this._config.extraClass)\n\n if (extraClass) {\n template.classList.add(...extraClass.split(' '))\n }\n\n return template\n }\n\n // Private\n _typeCheckConfig(config) {\n super._typeCheckConfig(config)\n this._checkContent(config.content)\n }\n\n _checkContent(arg) {\n for (const [selector, content] of Object.entries(arg)) {\n super._typeCheckConfig({ selector, entry: content }, DefaultContentType)\n }\n }\n\n _setContent(template, content, selector) {\n const templateElement = SelectorEngine.findOne(selector, template)\n\n if (!templateElement) {\n return\n }\n\n content = this._resolvePossibleFunction(content)\n\n if (!content) {\n templateElement.remove()\n return\n }\n\n if (isElement(content)) {\n this._putElementInTemplate(getElement(content), templateElement)\n return\n }\n\n if (this._config.html) {\n templateElement.innerHTML = this._maybeSanitize(content)\n return\n }\n\n templateElement.textContent = content\n }\n\n _maybeSanitize(arg) {\n return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg\n }\n\n _resolvePossibleFunction(arg) {\n return execute(arg, [this])\n }\n\n _putElementInTemplate(element, templateElement) {\n if (this._config.html) {\n templateElement.innerHTML = ''\n templateElement.append(element)\n return\n }\n\n templateElement.textContent = element.textContent\n }\n}\n\nexport default TemplateFactory\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport { defineJQueryPlugin, execute, findShadowRoot, getElement, getUID, isRTL, noop } from './util/index.js'\nimport { DefaultAllowlist } from './util/sanitizer.js'\nimport TemplateFactory from './util/template-factory.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'tooltip'\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn'])\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_MODAL = 'modal'\nconst CLASS_NAME_SHOW = 'show'\n\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner'\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`\n\nconst EVENT_MODAL_HIDE = 'hide.bs.modal'\n\nconst TRIGGER_HOVER = 'hover'\nconst TRIGGER_FOCUS = 'focus'\nconst TRIGGER_CLICK = 'click'\nconst TRIGGER_MANUAL = 'manual'\n\nconst EVENT_HIDE = 'hide'\nconst EVENT_HIDDEN = 'hidden'\nconst EVENT_SHOW = 'show'\nconst EVENT_SHOWN = 'shown'\nconst EVENT_INSERTED = 'inserted'\nconst EVENT_CLICK = 'click'\nconst EVENT_FOCUSIN = 'focusin'\nconst EVENT_FOCUSOUT = 'focusout'\nconst EVENT_MOUSEENTER = 'mouseenter'\nconst EVENT_MOUSELEAVE = 'mouseleave'\n\nconst AttachmentMap = {\n AUTO: 'auto',\n TOP: 'top',\n RIGHT: isRTL() ? 'left' : 'right',\n BOTTOM: 'bottom',\n LEFT: isRTL() ? 'right' : 'left'\n}\n\nconst Default = {\n allowList: DefaultAllowlist,\n animation: true,\n boundary: 'clippingParents',\n container: false,\n customClass: '',\n delay: 0,\n fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n html: false,\n offset: [0, 6],\n placement: 'top',\n popperConfig: null,\n sanitize: true,\n sanitizeFn: null,\n selector: false,\n template: '
' +\n '
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',\n title: '',\n trigger: 'hover focus'\n}\n\nconst DefaultType = {\n allowList: 'object',\n animation: 'boolean',\n boundary: '(string|element)',\n container: '(string|element|boolean)',\n customClass: '(string|function)',\n delay: '(number|object)',\n fallbackPlacements: 'array',\n html: 'boolean',\n offset: '(array|string|function)',\n placement: '(string|function)',\n popperConfig: '(null|object|function)',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n selector: '(string|boolean)',\n template: 'string',\n title: '(string|element|function)',\n trigger: 'string'\n}\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n constructor(element, config) {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)')\n }\n\n super(element, config)\n\n // Private\n this._isEnabled = true\n this._timeout = 0\n this._isHovered = null\n this._activeTrigger = {}\n this._popper = null\n this._templateFactory = null\n this._newContent = null\n\n // Protected\n this.tip = null\n\n this._setListeners()\n\n if (!this._config.selector) {\n this._fixTitle()\n }\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n enable() {\n this._isEnabled = true\n }\n\n disable() {\n this._isEnabled = false\n }\n\n toggleEnabled() {\n this._isEnabled = !this._isEnabled\n }\n\n toggle() {\n if (!this._isEnabled) {\n return\n }\n\n this._activeTrigger.click = !this._activeTrigger.click\n if (this._isShown()) {\n this._leave()\n return\n }\n\n this._enter()\n }\n\n dispose() {\n clearTimeout(this._timeout)\n\n EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n\n if (this._element.getAttribute('data-bs-original-title')) {\n this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'))\n }\n\n this._disposePopper()\n super.dispose()\n }\n\n show() {\n if (this._element.style.display === 'none') {\n throw new Error('Please use show on visible elements')\n }\n\n if (!(this._isWithContent() && this._isEnabled)) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW))\n const shadowRoot = findShadowRoot(this._element)\n const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element)\n\n if (showEvent.defaultPrevented || !isInTheDom) {\n return\n }\n\n // TODO: v6 remove this or make it optional\n this._disposePopper()\n\n const tip = this._getTipElement()\n\n this._element.setAttribute('aria-describedby', tip.getAttribute('id'))\n\n const { container } = this._config\n\n if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n container.append(tip)\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED))\n }\n\n this._popper = this._createPopper(tip)\n\n tip.classList.add(CLASS_NAME_SHOW)\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop)\n }\n }\n\n const complete = () => {\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN))\n\n if (this._isHovered === false) {\n this._leave()\n }\n\n this._isHovered = false\n }\n\n this._queueCallback(complete, this.tip, this._isAnimated())\n }\n\n hide() {\n if (!this._isShown()) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE))\n if (hideEvent.defaultPrevented) {\n return\n }\n\n const tip = this._getTipElement()\n tip.classList.remove(CLASS_NAME_SHOW)\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop)\n }\n }\n\n this._activeTrigger[TRIGGER_CLICK] = false\n this._activeTrigger[TRIGGER_FOCUS] = false\n this._activeTrigger[TRIGGER_HOVER] = false\n this._isHovered = null // it is a trick to support manual triggering\n\n const complete = () => {\n if (this._isWithActiveTrigger()) {\n return\n }\n\n if (!this._isHovered) {\n this._disposePopper()\n }\n\n this._element.removeAttribute('aria-describedby')\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN))\n }\n\n this._queueCallback(complete, this.tip, this._isAnimated())\n }\n\n update() {\n if (this._popper) {\n this._popper.update()\n }\n }\n\n // Protected\n _isWithContent() {\n return Boolean(this._getTitle())\n }\n\n _getTipElement() {\n if (!this.tip) {\n this.tip = this._createTipElement(this._newContent || this._getContentForTemplate())\n }\n\n return this.tip\n }\n\n _createTipElement(content) {\n const tip = this._getTemplateFactory(content).toHtml()\n\n // TODO: remove this check in v6\n if (!tip) {\n return null\n }\n\n tip.classList.remove(CLASS_NAME_FADE, CLASS_NAME_SHOW)\n // TODO: v6 the following can be achieved with CSS only\n tip.classList.add(`bs-${this.constructor.NAME}-auto`)\n\n const tipId = getUID(this.constructor.NAME).toString()\n\n tip.setAttribute('id', tipId)\n\n if (this._isAnimated()) {\n tip.classList.add(CLASS_NAME_FADE)\n }\n\n return tip\n }\n\n setContent(content) {\n this._newContent = content\n if (this._isShown()) {\n this._disposePopper()\n this.show()\n }\n }\n\n _getTemplateFactory(content) {\n if (this._templateFactory) {\n this._templateFactory.changeContent(content)\n } else {\n this._templateFactory = new TemplateFactory({\n ...this._config,\n // the `content` var has to be after `this._config`\n // to override config.content in case of popover\n content,\n extraClass: this._resolvePossibleFunction(this._config.customClass)\n })\n }\n\n return this._templateFactory\n }\n\n _getContentForTemplate() {\n return {\n [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n }\n }\n\n _getTitle() {\n return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title')\n }\n\n // Private\n _initializeOnDelegatedTarget(event) {\n return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig())\n }\n\n _isAnimated() {\n return this._config.animation || (this.tip && this.tip.classList.contains(CLASS_NAME_FADE))\n }\n\n _isShown() {\n return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW)\n }\n\n _createPopper(tip) {\n const placement = execute(this._config.placement, [this, tip, this._element])\n const attachment = AttachmentMap[placement.toUpperCase()]\n return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment))\n }\n\n _getOffset() {\n const { offset } = this._config\n\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10))\n }\n\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element)\n }\n\n return offset\n }\n\n _resolvePossibleFunction(arg) {\n return execute(arg, [this._element])\n }\n\n _getPopperConfig(attachment) {\n const defaultBsPopperConfig = {\n placement: attachment,\n modifiers: [\n {\n name: 'flip',\n options: {\n fallbackPlacements: this._config.fallbackPlacements\n }\n },\n {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n },\n {\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n },\n {\n name: 'arrow',\n options: {\n element: `.${this.constructor.NAME}-arrow`\n }\n },\n {\n name: 'preSetPlacement',\n enabled: true,\n phase: 'beforeMain',\n fn: data => {\n // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n this._getTipElement().setAttribute('data-popper-placement', data.state.placement)\n }\n }\n ]\n }\n\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n }\n }\n\n _setListeners() {\n const triggers = this._config.trigger.split(' ')\n\n for (const trigger of triggers) {\n if (trigger === 'click') {\n EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK), this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event)\n context.toggle()\n })\n } else if (trigger !== TRIGGER_MANUAL) {\n const eventIn = trigger === TRIGGER_HOVER ?\n this.constructor.eventName(EVENT_MOUSEENTER) :\n this.constructor.eventName(EVENT_FOCUSIN)\n const eventOut = trigger === TRIGGER_HOVER ?\n this.constructor.eventName(EVENT_MOUSELEAVE) :\n this.constructor.eventName(EVENT_FOCUSOUT)\n\n EventHandler.on(this._element, eventIn, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event)\n context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true\n context._enter()\n })\n EventHandler.on(this._element, eventOut, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event)\n context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] =\n context._element.contains(event.relatedTarget)\n\n context._leave()\n })\n }\n }\n\n this._hideModalHandler = () => {\n if (this._element) {\n this.hide()\n }\n }\n\n EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n }\n\n _fixTitle() {\n const title = this._element.getAttribute('title')\n\n if (!title) {\n return\n }\n\n if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n this._element.setAttribute('aria-label', title)\n }\n\n this._element.setAttribute('data-bs-original-title', title) // DO NOT USE IT. Is only for backwards compatibility\n this._element.removeAttribute('title')\n }\n\n _enter() {\n if (this._isShown() || this._isHovered) {\n this._isHovered = true\n return\n }\n\n this._isHovered = true\n\n this._setTimeout(() => {\n if (this._isHovered) {\n this.show()\n }\n }, this._config.delay.show)\n }\n\n _leave() {\n if (this._isWithActiveTrigger()) {\n return\n }\n\n this._isHovered = false\n\n this._setTimeout(() => {\n if (!this._isHovered) {\n this.hide()\n }\n }, this._config.delay.hide)\n }\n\n _setTimeout(handler, timeout) {\n clearTimeout(this._timeout)\n this._timeout = setTimeout(handler, timeout)\n }\n\n _isWithActiveTrigger() {\n return Object.values(this._activeTrigger).includes(true)\n }\n\n _getConfig(config) {\n const dataAttributes = Manipulator.getDataAttributes(this._element)\n\n for (const dataAttribute of Object.keys(dataAttributes)) {\n if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n delete dataAttributes[dataAttribute]\n }\n }\n\n config = {\n ...dataAttributes,\n ...(typeof config === 'object' && config ? config : {})\n }\n config = this._mergeConfigObj(config)\n config = this._configAfterMerge(config)\n this._typeCheckConfig(config)\n return config\n }\n\n _configAfterMerge(config) {\n config.container = config.container === false ? document.body : getElement(config.container)\n\n if (typeof config.delay === 'number') {\n config.delay = {\n show: config.delay,\n hide: config.delay\n }\n }\n\n if (typeof config.title === 'number') {\n config.title = config.title.toString()\n }\n\n if (typeof config.content === 'number') {\n config.content = config.content.toString()\n }\n\n return config\n }\n\n _getDelegateConfig() {\n const config = {}\n\n for (const [key, value] of Object.entries(this._config)) {\n if (this.constructor.Default[key] !== value) {\n config[key] = value\n }\n }\n\n config.selector = false\n config.trigger = 'manual'\n\n // In the future can be replaced with:\n // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n // `Object.fromEntries(keysWithDifferentValues)`\n return config\n }\n\n _disposePopper() {\n if (this._popper) {\n this._popper.destroy()\n this._popper = null\n }\n\n if (this.tip) {\n this.tip.remove()\n this.tip = null\n }\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Tooltip.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip)\n\nexport default Tooltip\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Tooltip from './tooltip.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'popover'\n\nconst SELECTOR_TITLE = '.popover-header'\nconst SELECTOR_CONTENT = '.popover-body'\n\nconst Default = {\n ...Tooltip.Default,\n content: '',\n offset: [0, 8],\n placement: 'right',\n template: '
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' +\n '
' +\n '
',\n trigger: 'click'\n}\n\nconst DefaultType = {\n ...Tooltip.DefaultType,\n content: '(null|string|element|function)'\n}\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Overrides\n _isWithContent() {\n return this._getTitle() || this._getContent()\n }\n\n // Private\n _getContentForTemplate() {\n return {\n [SELECTOR_TITLE]: this._getTitle(),\n [SELECTOR_CONTENT]: this._getContent()\n }\n }\n\n _getContent() {\n return this._resolvePossibleFunction(this._config.content)\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Popover.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover)\n\nexport default Popover\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport { defineJQueryPlugin, getElement, isDisabled, isVisible } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'scrollspy'\nconst DATA_KEY = 'bs.scrollspy'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_ACTIVATE = `activate${EVENT_KEY}`\nconst EVENT_CLICK = `click${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item'\nconst CLASS_NAME_ACTIVE = 'active'\n\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]'\nconst SELECTOR_TARGET_LINKS = '[href]'\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group'\nconst SELECTOR_NAV_LINKS = '.nav-link'\nconst SELECTOR_NAV_ITEMS = '.nav-item'\nconst SELECTOR_LIST_ITEMS = '.list-group-item'\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`\nconst SELECTOR_DROPDOWN = '.dropdown'\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\n\nconst Default = {\n offset: null, // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: '0px 0px -25%',\n smoothScroll: false,\n target: null,\n threshold: [0.1, 0.5, 1]\n}\n\nconst DefaultType = {\n offset: '(number|null)', // TODO v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: 'string',\n smoothScroll: 'boolean',\n target: 'element',\n threshold: 'array'\n}\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n // this._element is the observablesContainer and config.target the menu links wrapper\n this._targetLinks = new Map()\n this._observableSections = new Map()\n this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element\n this._activeTarget = null\n this._observer = null\n this._previousScrollData = {\n visibleEntryTop: 0,\n parentScrollTop: 0\n }\n this.refresh() // initialize\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n refresh() {\n this._initializeTargetsAndObservables()\n this._maybeEnableSmoothScroll()\n\n if (this._observer) {\n this._observer.disconnect()\n } else {\n this._observer = this._getNewObserver()\n }\n\n for (const section of this._observableSections.values()) {\n this._observer.observe(section)\n }\n }\n\n dispose() {\n this._observer.disconnect()\n super.dispose()\n }\n\n // Private\n _configAfterMerge(config) {\n // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n config.target = getElement(config.target) || document.body\n\n // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin\n\n if (typeof config.threshold === 'string') {\n config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value))\n }\n\n return config\n }\n\n _maybeEnableSmoothScroll() {\n if (!this._config.smoothScroll) {\n return\n }\n\n // unregister any previous listeners\n EventHandler.off(this._config.target, EVENT_CLICK)\n\n EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n const observableSection = this._observableSections.get(event.target.hash)\n if (observableSection) {\n event.preventDefault()\n const root = this._rootElement || window\n const height = observableSection.offsetTop - this._element.offsetTop\n if (root.scrollTo) {\n root.scrollTo({ top: height, behavior: 'smooth' })\n return\n }\n\n // Chrome 60 doesn't support `scrollTo`\n root.scrollTop = height\n }\n })\n }\n\n _getNewObserver() {\n const options = {\n root: this._rootElement,\n threshold: this._config.threshold,\n rootMargin: this._config.rootMargin\n }\n\n return new IntersectionObserver(entries => this._observerCallback(entries), options)\n }\n\n // The logic of selection\n _observerCallback(entries) {\n const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`)\n const activate = entry => {\n this._previousScrollData.visibleEntryTop = entry.target.offsetTop\n this._process(targetElement(entry))\n }\n\n const parentScrollTop = (this._rootElement || document.documentElement).scrollTop\n const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop\n this._previousScrollData.parentScrollTop = parentScrollTop\n\n for (const entry of entries) {\n if (!entry.isIntersecting) {\n this._activeTarget = null\n this._clearActiveClass(targetElement(entry))\n\n continue\n }\n\n const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop\n // if we are scrolling down, pick the bigger offsetTop\n if (userScrollsDown && entryIsLowerThanPrevious) {\n activate(entry)\n // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n if (!parentScrollTop) {\n return\n }\n\n continue\n }\n\n // if we are scrolling up, pick the smallest offsetTop\n if (!userScrollsDown && !entryIsLowerThanPrevious) {\n activate(entry)\n }\n }\n }\n\n _initializeTargetsAndObservables() {\n this._targetLinks = new Map()\n this._observableSections = new Map()\n\n const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target)\n\n for (const anchor of targetLinks) {\n // ensure that the anchor has an id and is not disabled\n if (!anchor.hash || isDisabled(anchor)) {\n continue\n }\n\n const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element)\n\n // ensure that the observableSection exists & is visible\n if (isVisible(observableSection)) {\n this._targetLinks.set(decodeURI(anchor.hash), anchor)\n this._observableSections.set(anchor.hash, observableSection)\n }\n }\n }\n\n _process(target) {\n if (this._activeTarget === target) {\n return\n }\n\n this._clearActiveClass(this._config.target)\n this._activeTarget = target\n target.classList.add(CLASS_NAME_ACTIVE)\n this._activateParents(target)\n\n EventHandler.trigger(this._element, EVENT_ACTIVATE, { relatedTarget: target })\n }\n\n _activateParents(target) {\n // Activate dropdown parents\n if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE, target.closest(SELECTOR_DROPDOWN))\n .classList.add(CLASS_NAME_ACTIVE)\n return\n }\n\n for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n // Set triggered links parents as active\n // With both
    and
')},createChildNavList:function(e){var t=this.createNavList();return e.append(t),t},generateNavEl:function(e,t){var n=a('');n.attr("href","#"+e),n.text(t);var r=a("
  • ");return r.append(n),r},generateNavItem:function(e){var t=this.generateAnchor(e),n=a(e),r=n.data("toc-text")||n.text();return this.generateNavEl(t,r)},getTopLevel:function(e){for(var t=1;t<=6;t++){if(1 - - - - - - - - - - - - diff --git a/docs/deps/font-awesome-6.5.2/css/all.css b/docs/deps/font-awesome-6.5.2/css/all.css deleted file mode 100644 index 151dd57..0000000 --- a/docs/deps/font-awesome-6.5.2/css/all.css +++ /dev/null @@ -1,8028 +0,0 @@ -/*! - * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com - * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) - * Copyright 2024 Fonticons, Inc. - */ -.fa { - font-family: var(--fa-style-family, "Font Awesome 6 Free"); - font-weight: var(--fa-style, 900); } - -.fa, -.fa-classic, -.fa-sharp, -.fas, -.fa-solid, -.far, -.fa-regular, -.fab, -.fa-brands { - -moz-osx-font-smoothing: grayscale; - -webkit-font-smoothing: antialiased; - display: var(--fa-display, inline-block); - font-style: normal; - font-variant: normal; - line-height: 1; - text-rendering: auto; } - -.fas, -.fa-classic, -.fa-solid, -.far, -.fa-regular { - font-family: 'Font Awesome 6 Free'; } - -.fab, -.fa-brands { - font-family: 'Font Awesome 6 Brands'; } - -.fa-1x { - font-size: 1em; } - -.fa-2x { - font-size: 2em; } - -.fa-3x { - font-size: 3em; } - -.fa-4x { - font-size: 4em; } - -.fa-5x { - font-size: 5em; } - -.fa-6x { - font-size: 6em; } - -.fa-7x { - font-size: 7em; } - -.fa-8x { - font-size: 8em; } - -.fa-9x { - font-size: 9em; } - -.fa-10x { - font-size: 10em; } - -.fa-2xs { - font-size: 0.625em; - line-height: 0.1em; - vertical-align: 0.225em; } - -.fa-xs { - font-size: 0.75em; - line-height: 0.08333em; - vertical-align: 0.125em; } - -.fa-sm { - font-size: 0.875em; - line-height: 0.07143em; - vertical-align: 0.05357em; } - -.fa-lg { - font-size: 1.25em; - line-height: 0.05em; - vertical-align: -0.075em; } - -.fa-xl { - font-size: 1.5em; - line-height: 0.04167em; - vertical-align: -0.125em; } - -.fa-2xl { - font-size: 2em; - line-height: 0.03125em; - vertical-align: -0.1875em; } - -.fa-fw { - text-align: center; - width: 1.25em; } - -.fa-ul { - list-style-type: none; - margin-left: var(--fa-li-margin, 2.5em); - padding-left: 0; } - .fa-ul > li { - position: relative; } - -.fa-li { - left: calc(var(--fa-li-width, 2em) * -1); - position: absolute; - text-align: center; - width: var(--fa-li-width, 2em); - line-height: inherit; } - -.fa-border { - border-color: var(--fa-border-color, #eee); - border-radius: var(--fa-border-radius, 0.1em); - border-style: var(--fa-border-style, solid); - border-width: var(--fa-border-width, 0.08em); - padding: var(--fa-border-padding, 0.2em 0.25em 0.15em); } - -.fa-pull-left { - float: left; - margin-right: var(--fa-pull-margin, 0.3em); } - -.fa-pull-right { - float: right; - margin-left: var(--fa-pull-margin, 0.3em); } - -.fa-beat { - -webkit-animation-name: fa-beat; - animation-name: fa-beat; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out); - animation-timing-function: var(--fa-animation-timing, ease-in-out); } - -.fa-bounce { - -webkit-animation-name: fa-bounce; - animation-name: fa-bounce; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); - animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); } - -.fa-fade { - -webkit-animation-name: fa-fade; - animation-name: fa-fade; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); - animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); } - -.fa-beat-fade { - -webkit-animation-name: fa-beat-fade; - animation-name: fa-beat-fade; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); - animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); } - -.fa-flip { - -webkit-animation-name: fa-flip; - animation-name: fa-flip; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out); - animation-timing-function: var(--fa-animation-timing, ease-in-out); } - -.fa-shake { - -webkit-animation-name: fa-shake; - animation-name: fa-shake; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, linear); - animation-timing-function: var(--fa-animation-timing, linear); } - -.fa-spin { - -webkit-animation-name: fa-spin; - animation-name: fa-spin; - -webkit-animation-delay: var(--fa-animation-delay, 0s); - animation-delay: var(--fa-animation-delay, 0s); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 2s); - animation-duration: var(--fa-animation-duration, 2s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, linear); - animation-timing-function: var(--fa-animation-timing, linear); } - -.fa-spin-reverse { - --fa-animation-direction: reverse; } - -.fa-pulse, -.fa-spin-pulse { - -webkit-animation-name: fa-spin; - animation-name: fa-spin; - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, steps(8)); - animation-timing-function: var(--fa-animation-timing, steps(8)); } - -@media (prefers-reduced-motion: reduce) { - .fa-beat, - .fa-bounce, - .fa-fade, - .fa-beat-fade, - .fa-flip, - .fa-pulse, - .fa-shake, - .fa-spin, - .fa-spin-pulse { - -webkit-animation-delay: -1ms; - animation-delay: -1ms; - -webkit-animation-duration: 1ms; - animation-duration: 1ms; - -webkit-animation-iteration-count: 1; - animation-iteration-count: 1; - -webkit-transition-delay: 0s; - transition-delay: 0s; - -webkit-transition-duration: 0s; - transition-duration: 0s; } } - -@-webkit-keyframes fa-beat { - 0%, 90% { - -webkit-transform: scale(1); - transform: scale(1); } - 45% { - -webkit-transform: scale(var(--fa-beat-scale, 1.25)); - transform: scale(var(--fa-beat-scale, 1.25)); } } - -@keyframes fa-beat { - 0%, 90% { - -webkit-transform: scale(1); - transform: scale(1); } - 45% { - -webkit-transform: scale(var(--fa-beat-scale, 1.25)); - transform: scale(var(--fa-beat-scale, 1.25)); } } - -@-webkit-keyframes fa-bounce { - 0% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } - 10% { - -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); - transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); } - 30% { - -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); - transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); } - 50% { - -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); - transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); } - 57% { - -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); - transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); } - 64% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } - 100% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } } - -@keyframes fa-bounce { - 0% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } - 10% { - -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); - transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); } - 30% { - -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); - transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); } - 50% { - -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); - transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); } - 57% { - -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); - transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); } - 64% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } - 100% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } } - -@-webkit-keyframes fa-fade { - 50% { - opacity: var(--fa-fade-opacity, 0.4); } } - -@keyframes fa-fade { - 50% { - opacity: var(--fa-fade-opacity, 0.4); } } - -@-webkit-keyframes fa-beat-fade { - 0%, 100% { - opacity: var(--fa-beat-fade-opacity, 0.4); - -webkit-transform: scale(1); - transform: scale(1); } - 50% { - opacity: 1; - -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125)); - transform: scale(var(--fa-beat-fade-scale, 1.125)); } } - -@keyframes fa-beat-fade { - 0%, 100% { - opacity: var(--fa-beat-fade-opacity, 0.4); - -webkit-transform: scale(1); - transform: scale(1); } - 50% { - opacity: 1; - -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125)); - transform: scale(var(--fa-beat-fade-scale, 1.125)); } } - -@-webkit-keyframes fa-flip { - 50% { - -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); - transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } } - -@keyframes fa-flip { - 50% { - -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); - transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } } - -@-webkit-keyframes fa-shake { - 0% { - -webkit-transform: rotate(-15deg); - transform: rotate(-15deg); } - 4% { - -webkit-transform: rotate(15deg); - transform: rotate(15deg); } - 8%, 24% { - -webkit-transform: rotate(-18deg); - transform: rotate(-18deg); } - 12%, 28% { - -webkit-transform: rotate(18deg); - transform: rotate(18deg); } - 16% { - -webkit-transform: rotate(-22deg); - transform: rotate(-22deg); } - 20% { - -webkit-transform: rotate(22deg); - transform: rotate(22deg); } - 32% { - -webkit-transform: rotate(-12deg); - transform: rotate(-12deg); } - 36% { - -webkit-transform: rotate(12deg); - transform: rotate(12deg); } - 40%, 100% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); } } - -@keyframes fa-shake { - 0% { - -webkit-transform: rotate(-15deg); - transform: rotate(-15deg); } - 4% { - -webkit-transform: rotate(15deg); - transform: rotate(15deg); } - 8%, 24% { - -webkit-transform: rotate(-18deg); - transform: rotate(-18deg); } - 12%, 28% { - -webkit-transform: rotate(18deg); - transform: rotate(18deg); } - 16% { - -webkit-transform: rotate(-22deg); - transform: rotate(-22deg); } - 20% { - -webkit-transform: rotate(22deg); - transform: rotate(22deg); } - 32% { - -webkit-transform: rotate(-12deg); - transform: rotate(-12deg); } - 36% { - -webkit-transform: rotate(12deg); - transform: rotate(12deg); } - 40%, 100% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); } } - -@-webkit-keyframes fa-spin { - 0% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); } - 100% { - -webkit-transform: rotate(360deg); - transform: rotate(360deg); } } - -@keyframes fa-spin { - 0% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); } - 100% { - -webkit-transform: rotate(360deg); - transform: rotate(360deg); } } - -.fa-rotate-90 { - -webkit-transform: rotate(90deg); - transform: rotate(90deg); } - -.fa-rotate-180 { - -webkit-transform: rotate(180deg); - transform: rotate(180deg); } - -.fa-rotate-270 { - -webkit-transform: rotate(270deg); - transform: rotate(270deg); } - -.fa-flip-horizontal { - -webkit-transform: scale(-1, 1); - transform: scale(-1, 1); } - -.fa-flip-vertical { - -webkit-transform: scale(1, -1); - transform: scale(1, -1); } - -.fa-flip-both, -.fa-flip-horizontal.fa-flip-vertical { - -webkit-transform: scale(-1, -1); - transform: scale(-1, -1); } - -.fa-rotate-by { - -webkit-transform: rotate(var(--fa-rotate-angle, 0)); - transform: rotate(var(--fa-rotate-angle, 0)); } - -.fa-stack { - display: inline-block; - height: 2em; - line-height: 2em; - position: relative; - vertical-align: middle; - width: 2.5em; } - -.fa-stack-1x, -.fa-stack-2x { - left: 0; - position: absolute; - text-align: center; - width: 100%; - z-index: var(--fa-stack-z-index, auto); } - -.fa-stack-1x { - line-height: inherit; } - -.fa-stack-2x { - font-size: 2em; } - -.fa-inverse { - color: var(--fa-inverse, #fff); } - -/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen -readers do not read off random characters that represent icons */ - -.fa-0::before { - content: "\30"; } - -.fa-1::before { - content: "\31"; } - -.fa-2::before { - content: "\32"; } - -.fa-3::before { - content: "\33"; } - -.fa-4::before { - content: "\34"; } - -.fa-5::before { - content: "\35"; } - -.fa-6::before { - content: "\36"; } - -.fa-7::before { - content: "\37"; } - -.fa-8::before { - content: "\38"; } - -.fa-9::before { - content: "\39"; } - -.fa-fill-drip::before { - content: "\f576"; } - -.fa-arrows-to-circle::before { - content: "\e4bd"; } - -.fa-circle-chevron-right::before { - content: "\f138"; } - -.fa-chevron-circle-right::before { - content: "\f138"; } - -.fa-at::before { - content: "\40"; } - -.fa-trash-can::before { - content: "\f2ed"; } - -.fa-trash-alt::before { - content: "\f2ed"; } - -.fa-text-height::before { - content: "\f034"; } - -.fa-user-xmark::before { - content: "\f235"; } - -.fa-user-times::before { - content: "\f235"; } - -.fa-stethoscope::before { - content: "\f0f1"; } - -.fa-message::before { - content: "\f27a"; } - -.fa-comment-alt::before { - content: "\f27a"; } - -.fa-info::before { - content: "\f129"; } - -.fa-down-left-and-up-right-to-center::before { - content: "\f422"; } - -.fa-compress-alt::before { - content: "\f422"; } - -.fa-explosion::before { - content: "\e4e9"; } - -.fa-file-lines::before { - content: "\f15c"; } - -.fa-file-alt::before { - content: "\f15c"; } - -.fa-file-text::before { - content: "\f15c"; } - -.fa-wave-square::before { - content: "\f83e"; } - -.fa-ring::before { - content: "\f70b"; } - -.fa-building-un::before { - content: "\e4d9"; } - -.fa-dice-three::before { - content: "\f527"; } - -.fa-calendar-days::before { - content: "\f073"; } - -.fa-calendar-alt::before { - content: "\f073"; } - -.fa-anchor-circle-check::before { - content: "\e4aa"; } - -.fa-building-circle-arrow-right::before { - content: "\e4d1"; } - -.fa-volleyball::before { - content: "\f45f"; } - -.fa-volleyball-ball::before { - content: "\f45f"; } - -.fa-arrows-up-to-line::before { - content: "\e4c2"; } - -.fa-sort-down::before { - content: "\f0dd"; } - -.fa-sort-desc::before { - content: "\f0dd"; } - -.fa-circle-minus::before { - content: "\f056"; } - -.fa-minus-circle::before { - content: "\f056"; } - -.fa-door-open::before { - content: "\f52b"; } - -.fa-right-from-bracket::before { - content: "\f2f5"; } - -.fa-sign-out-alt::before { - content: "\f2f5"; } - -.fa-atom::before { - content: "\f5d2"; } - -.fa-soap::before { - content: "\e06e"; } - -.fa-icons::before { - content: "\f86d"; } - -.fa-heart-music-camera-bolt::before { - content: "\f86d"; } - -.fa-microphone-lines-slash::before { - content: "\f539"; } - -.fa-microphone-alt-slash::before { - content: "\f539"; } - -.fa-bridge-circle-check::before { - content: "\e4c9"; } - -.fa-pump-medical::before { - content: "\e06a"; } - -.fa-fingerprint::before { - content: "\f577"; } - -.fa-hand-point-right::before { - content: "\f0a4"; } - -.fa-magnifying-glass-location::before { - content: "\f689"; } - -.fa-search-location::before { - content: "\f689"; } - -.fa-forward-step::before { - content: "\f051"; } - -.fa-step-forward::before { - content: "\f051"; } - -.fa-face-smile-beam::before { - content: "\f5b8"; } - -.fa-smile-beam::before { - content: "\f5b8"; } - -.fa-flag-checkered::before { - content: "\f11e"; } - -.fa-football::before { - content: "\f44e"; } - -.fa-football-ball::before { - content: "\f44e"; } - -.fa-school-circle-exclamation::before { - content: "\e56c"; } - -.fa-crop::before { - content: "\f125"; } - -.fa-angles-down::before { - content: "\f103"; } - -.fa-angle-double-down::before { - content: "\f103"; } - -.fa-users-rectangle::before { - content: "\e594"; } - -.fa-people-roof::before { - content: "\e537"; } - -.fa-people-line::before { - content: "\e534"; } - -.fa-beer-mug-empty::before { - content: "\f0fc"; } - -.fa-beer::before { - content: "\f0fc"; } - -.fa-diagram-predecessor::before { - content: "\e477"; } - -.fa-arrow-up-long::before { - content: "\f176"; } - -.fa-long-arrow-up::before { - content: "\f176"; } - -.fa-fire-flame-simple::before { - content: "\f46a"; } - -.fa-burn::before { - content: "\f46a"; } - -.fa-person::before { - content: "\f183"; } - -.fa-male::before { - content: "\f183"; } - -.fa-laptop::before { - content: "\f109"; } - -.fa-file-csv::before { - content: "\f6dd"; } - -.fa-menorah::before { - content: "\f676"; } - -.fa-truck-plane::before { - content: "\e58f"; } - -.fa-record-vinyl::before { - content: "\f8d9"; } - -.fa-face-grin-stars::before { - content: "\f587"; } - -.fa-grin-stars::before { - content: "\f587"; } - -.fa-bong::before { - content: "\f55c"; } - -.fa-spaghetti-monster-flying::before { - content: "\f67b"; } - -.fa-pastafarianism::before { - content: "\f67b"; } - -.fa-arrow-down-up-across-line::before { - content: "\e4af"; } - -.fa-spoon::before { - content: "\f2e5"; } - -.fa-utensil-spoon::before { - content: "\f2e5"; } - -.fa-jar-wheat::before { - content: "\e517"; } - -.fa-envelopes-bulk::before { - content: "\f674"; } - -.fa-mail-bulk::before { - content: "\f674"; } - -.fa-file-circle-exclamation::before { - content: "\e4eb"; } - -.fa-circle-h::before { - content: "\f47e"; } - -.fa-hospital-symbol::before { - content: "\f47e"; } - -.fa-pager::before { - content: "\f815"; } - -.fa-address-book::before { - content: "\f2b9"; } - -.fa-contact-book::before { - content: "\f2b9"; } - -.fa-strikethrough::before { - content: "\f0cc"; } - -.fa-k::before { - content: "\4b"; } - -.fa-landmark-flag::before { - content: "\e51c"; } - -.fa-pencil::before { - content: "\f303"; } - -.fa-pencil-alt::before { - content: "\f303"; } - -.fa-backward::before { - content: "\f04a"; } - -.fa-caret-right::before { - content: "\f0da"; } - -.fa-comments::before { - content: "\f086"; } - -.fa-paste::before { - content: "\f0ea"; } - -.fa-file-clipboard::before { - content: "\f0ea"; } - -.fa-code-pull-request::before { - content: "\e13c"; } - -.fa-clipboard-list::before { - content: "\f46d"; } - -.fa-truck-ramp-box::before { - content: "\f4de"; } - -.fa-truck-loading::before { - content: "\f4de"; } - -.fa-user-check::before { - content: "\f4fc"; } - -.fa-vial-virus::before { - content: "\e597"; } - -.fa-sheet-plastic::before { - content: "\e571"; } - -.fa-blog::before { - content: "\f781"; } - -.fa-user-ninja::before { - content: "\f504"; } - -.fa-person-arrow-up-from-line::before { - content: "\e539"; } - -.fa-scroll-torah::before { - content: "\f6a0"; } - -.fa-torah::before { - content: "\f6a0"; } - -.fa-broom-ball::before { - content: "\f458"; } - -.fa-quidditch::before { - content: "\f458"; } - -.fa-quidditch-broom-ball::before { - content: "\f458"; } - -.fa-toggle-off::before { - content: "\f204"; } - -.fa-box-archive::before { - content: "\f187"; } - -.fa-archive::before { - content: "\f187"; } - -.fa-person-drowning::before { - content: "\e545"; } - -.fa-arrow-down-9-1::before { - content: "\f886"; } - -.fa-sort-numeric-desc::before { - content: "\f886"; } - -.fa-sort-numeric-down-alt::before { - content: "\f886"; } - -.fa-face-grin-tongue-squint::before { - content: "\f58a"; } - -.fa-grin-tongue-squint::before { - content: "\f58a"; } - -.fa-spray-can::before { - content: "\f5bd"; } - -.fa-truck-monster::before { - content: "\f63b"; } - -.fa-w::before { - content: "\57"; } - -.fa-earth-africa::before { - content: "\f57c"; } - -.fa-globe-africa::before { - content: "\f57c"; } - -.fa-rainbow::before { - content: "\f75b"; } - -.fa-circle-notch::before { - content: "\f1ce"; } - -.fa-tablet-screen-button::before { - content: "\f3fa"; } - -.fa-tablet-alt::before { - content: "\f3fa"; } - -.fa-paw::before { - content: "\f1b0"; } - -.fa-cloud::before { - content: "\f0c2"; } - -.fa-trowel-bricks::before { - content: "\e58a"; } - -.fa-face-flushed::before { - content: "\f579"; } - -.fa-flushed::before { - content: "\f579"; } - -.fa-hospital-user::before { - content: "\f80d"; } - -.fa-tent-arrow-left-right::before { - content: "\e57f"; } - -.fa-gavel::before { - content: "\f0e3"; } - -.fa-legal::before { - content: "\f0e3"; } - -.fa-binoculars::before { - content: "\f1e5"; } - -.fa-microphone-slash::before { - content: "\f131"; } - -.fa-box-tissue::before { - content: "\e05b"; } - -.fa-motorcycle::before { - content: "\f21c"; } - -.fa-bell-concierge::before { - content: "\f562"; } - -.fa-concierge-bell::before { - content: "\f562"; } - -.fa-pen-ruler::before { - content: "\f5ae"; } - -.fa-pencil-ruler::before { - content: "\f5ae"; } - -.fa-people-arrows::before { - content: "\e068"; } - -.fa-people-arrows-left-right::before { - content: "\e068"; } - -.fa-mars-and-venus-burst::before { - content: "\e523"; } - -.fa-square-caret-right::before { - content: "\f152"; } - -.fa-caret-square-right::before { - content: "\f152"; } - -.fa-scissors::before { - content: "\f0c4"; } - -.fa-cut::before { - content: "\f0c4"; } - -.fa-sun-plant-wilt::before { - content: "\e57a"; } - -.fa-toilets-portable::before { - content: "\e584"; } - -.fa-hockey-puck::before { - content: "\f453"; } - -.fa-table::before { - content: "\f0ce"; } - -.fa-magnifying-glass-arrow-right::before { - content: "\e521"; } - -.fa-tachograph-digital::before { - content: "\f566"; } - -.fa-digital-tachograph::before { - content: "\f566"; } - -.fa-users-slash::before { - content: "\e073"; } - -.fa-clover::before { - content: "\e139"; } - -.fa-reply::before { - content: "\f3e5"; } - -.fa-mail-reply::before { - content: "\f3e5"; } - -.fa-star-and-crescent::before { - content: "\f699"; } - -.fa-house-fire::before { - content: "\e50c"; } - -.fa-square-minus::before { - content: "\f146"; } - -.fa-minus-square::before { - content: "\f146"; } - -.fa-helicopter::before { - content: "\f533"; } - -.fa-compass::before { - content: "\f14e"; } - -.fa-square-caret-down::before { - content: "\f150"; } - -.fa-caret-square-down::before { - content: "\f150"; } - -.fa-file-circle-question::before { - content: "\e4ef"; } - -.fa-laptop-code::before { - content: "\f5fc"; } - -.fa-swatchbook::before { - content: "\f5c3"; } - -.fa-prescription-bottle::before { - content: "\f485"; } - -.fa-bars::before { - content: "\f0c9"; } - -.fa-navicon::before { - content: "\f0c9"; } - -.fa-people-group::before { - content: "\e533"; } - -.fa-hourglass-end::before { - content: "\f253"; } - -.fa-hourglass-3::before { - content: "\f253"; } - -.fa-heart-crack::before { - content: "\f7a9"; } - -.fa-heart-broken::before { - content: "\f7a9"; } - -.fa-square-up-right::before { - content: "\f360"; } - -.fa-external-link-square-alt::before { - content: "\f360"; } - -.fa-face-kiss-beam::before { - content: "\f597"; } - -.fa-kiss-beam::before { - content: "\f597"; } - -.fa-film::before { - content: "\f008"; } - -.fa-ruler-horizontal::before { - content: "\f547"; } - -.fa-people-robbery::before { - content: "\e536"; } - -.fa-lightbulb::before { - content: "\f0eb"; } - -.fa-caret-left::before { - content: "\f0d9"; } - -.fa-circle-exclamation::before { - content: "\f06a"; } - -.fa-exclamation-circle::before { - content: "\f06a"; } - -.fa-school-circle-xmark::before { - content: "\e56d"; } - -.fa-arrow-right-from-bracket::before { - content: "\f08b"; } - -.fa-sign-out::before { - content: "\f08b"; } - -.fa-circle-chevron-down::before { - content: "\f13a"; } - -.fa-chevron-circle-down::before { - content: "\f13a"; } - -.fa-unlock-keyhole::before { - content: "\f13e"; } - -.fa-unlock-alt::before { - content: "\f13e"; } - -.fa-cloud-showers-heavy::before { - content: "\f740"; } - -.fa-headphones-simple::before { - content: "\f58f"; } - -.fa-headphones-alt::before { - content: "\f58f"; } - -.fa-sitemap::before { - content: "\f0e8"; } - -.fa-circle-dollar-to-slot::before { - content: "\f4b9"; } - -.fa-donate::before { - content: "\f4b9"; } - -.fa-memory::before { - content: "\f538"; } - -.fa-road-spikes::before { - content: "\e568"; } - -.fa-fire-burner::before { - content: "\e4f1"; } - -.fa-flag::before { - content: "\f024"; } - -.fa-hanukiah::before { - content: "\f6e6"; } - -.fa-feather::before { - content: "\f52d"; } - -.fa-volume-low::before { - content: "\f027"; } - -.fa-volume-down::before { - content: "\f027"; } - -.fa-comment-slash::before { - content: "\f4b3"; } - -.fa-cloud-sun-rain::before { - content: "\f743"; } - -.fa-compress::before { - content: "\f066"; } - -.fa-wheat-awn::before { - content: "\e2cd"; } - -.fa-wheat-alt::before { - content: "\e2cd"; } - -.fa-ankh::before { - content: "\f644"; } - -.fa-hands-holding-child::before { - content: "\e4fa"; } - -.fa-asterisk::before { - content: "\2a"; } - -.fa-square-check::before { - content: "\f14a"; } - -.fa-check-square::before { - content: "\f14a"; } - -.fa-peseta-sign::before { - content: "\e221"; } - -.fa-heading::before { - content: "\f1dc"; } - -.fa-header::before { - content: "\f1dc"; } - -.fa-ghost::before { - content: "\f6e2"; } - -.fa-list::before { - content: "\f03a"; } - -.fa-list-squares::before { - content: "\f03a"; } - -.fa-square-phone-flip::before { - content: "\f87b"; } - -.fa-phone-square-alt::before { - content: "\f87b"; } - -.fa-cart-plus::before { - content: "\f217"; } - -.fa-gamepad::before { - content: "\f11b"; } - -.fa-circle-dot::before { - content: "\f192"; } - -.fa-dot-circle::before { - content: "\f192"; } - -.fa-face-dizzy::before { - content: "\f567"; } - -.fa-dizzy::before { - content: "\f567"; } - -.fa-egg::before { - content: "\f7fb"; } - -.fa-house-medical-circle-xmark::before { - content: "\e513"; } - -.fa-campground::before { - content: "\f6bb"; } - -.fa-folder-plus::before { - content: "\f65e"; } - -.fa-futbol::before { - content: "\f1e3"; } - -.fa-futbol-ball::before { - content: "\f1e3"; } - -.fa-soccer-ball::before { - content: "\f1e3"; } - -.fa-paintbrush::before { - content: "\f1fc"; } - -.fa-paint-brush::before { - content: "\f1fc"; } - -.fa-lock::before { - content: "\f023"; } - -.fa-gas-pump::before { - content: "\f52f"; } - -.fa-hot-tub-person::before { - content: "\f593"; } - -.fa-hot-tub::before { - content: "\f593"; } - -.fa-map-location::before { - content: "\f59f"; } - -.fa-map-marked::before { - content: "\f59f"; } - -.fa-house-flood-water::before { - content: "\e50e"; } - -.fa-tree::before { - content: "\f1bb"; } - -.fa-bridge-lock::before { - content: "\e4cc"; } - -.fa-sack-dollar::before { - content: "\f81d"; } - -.fa-pen-to-square::before { - content: "\f044"; } - -.fa-edit::before { - content: "\f044"; } - -.fa-car-side::before { - content: "\f5e4"; } - -.fa-share-nodes::before { - content: "\f1e0"; } - -.fa-share-alt::before { - content: "\f1e0"; } - -.fa-heart-circle-minus::before { - content: "\e4ff"; } - -.fa-hourglass-half::before { - content: "\f252"; } - -.fa-hourglass-2::before { - content: "\f252"; } - -.fa-microscope::before { - content: "\f610"; } - -.fa-sink::before { - content: "\e06d"; } - -.fa-bag-shopping::before { - content: "\f290"; } - -.fa-shopping-bag::before { - content: "\f290"; } - -.fa-arrow-down-z-a::before { - content: "\f881"; } - -.fa-sort-alpha-desc::before { - content: "\f881"; } - -.fa-sort-alpha-down-alt::before { - content: "\f881"; } - -.fa-mitten::before { - content: "\f7b5"; } - -.fa-person-rays::before { - content: "\e54d"; } - -.fa-users::before { - content: "\f0c0"; } - -.fa-eye-slash::before { - content: "\f070"; } - -.fa-flask-vial::before { - content: "\e4f3"; } - -.fa-hand::before { - content: "\f256"; } - -.fa-hand-paper::before { - content: "\f256"; } - -.fa-om::before { - content: "\f679"; } - -.fa-worm::before { - content: "\e599"; } - -.fa-house-circle-xmark::before { - content: "\e50b"; } - -.fa-plug::before { - content: "\f1e6"; } - -.fa-chevron-up::before { - content: "\f077"; } - -.fa-hand-spock::before { - content: "\f259"; } - -.fa-stopwatch::before { - content: "\f2f2"; } - -.fa-face-kiss::before { - content: "\f596"; } - -.fa-kiss::before { - content: "\f596"; } - -.fa-bridge-circle-xmark::before { - content: "\e4cb"; } - -.fa-face-grin-tongue::before { - content: "\f589"; } - -.fa-grin-tongue::before { - content: "\f589"; } - -.fa-chess-bishop::before { - content: "\f43a"; } - -.fa-face-grin-wink::before { - content: "\f58c"; } - -.fa-grin-wink::before { - content: "\f58c"; } - -.fa-ear-deaf::before { - content: "\f2a4"; } - -.fa-deaf::before { - content: "\f2a4"; } - -.fa-deafness::before { - content: "\f2a4"; } - -.fa-hard-of-hearing::before { - content: "\f2a4"; } - -.fa-road-circle-check::before { - content: "\e564"; } - -.fa-dice-five::before { - content: "\f523"; } - -.fa-square-rss::before { - content: "\f143"; } - -.fa-rss-square::before { - content: "\f143"; } - -.fa-land-mine-on::before { - content: "\e51b"; } - -.fa-i-cursor::before { - content: "\f246"; } - -.fa-stamp::before { - content: "\f5bf"; } - -.fa-stairs::before { - content: "\e289"; } - -.fa-i::before { - content: "\49"; } - -.fa-hryvnia-sign::before { - content: "\f6f2"; } - -.fa-hryvnia::before { - content: "\f6f2"; } - -.fa-pills::before { - content: "\f484"; } - -.fa-face-grin-wide::before { - content: "\f581"; } - -.fa-grin-alt::before { - content: "\f581"; } - -.fa-tooth::before { - content: "\f5c9"; } - -.fa-v::before { - content: "\56"; } - -.fa-bangladeshi-taka-sign::before { - content: "\e2e6"; } - -.fa-bicycle::before { - content: "\f206"; } - -.fa-staff-snake::before { - content: "\e579"; } - -.fa-rod-asclepius::before { - content: "\e579"; } - -.fa-rod-snake::before { - content: "\e579"; } - -.fa-staff-aesculapius::before { - content: "\e579"; } - -.fa-head-side-cough-slash::before { - content: "\e062"; } - -.fa-truck-medical::before { - content: "\f0f9"; } - -.fa-ambulance::before { - content: "\f0f9"; } - -.fa-wheat-awn-circle-exclamation::before { - content: "\e598"; } - -.fa-snowman::before { - content: "\f7d0"; } - -.fa-mortar-pestle::before { - content: "\f5a7"; } - -.fa-road-barrier::before { - content: "\e562"; } - -.fa-school::before { - content: "\f549"; } - -.fa-igloo::before { - content: "\f7ae"; } - -.fa-joint::before { - content: "\f595"; } - -.fa-angle-right::before { - content: "\f105"; } - -.fa-horse::before { - content: "\f6f0"; } - -.fa-q::before { - content: "\51"; } - -.fa-g::before { - content: "\47"; } - -.fa-notes-medical::before { - content: "\f481"; } - -.fa-temperature-half::before { - content: "\f2c9"; } - -.fa-temperature-2::before { - content: "\f2c9"; } - -.fa-thermometer-2::before { - content: "\f2c9"; } - -.fa-thermometer-half::before { - content: "\f2c9"; } - -.fa-dong-sign::before { - content: "\e169"; } - -.fa-capsules::before { - content: "\f46b"; } - -.fa-poo-storm::before { - content: "\f75a"; } - -.fa-poo-bolt::before { - content: "\f75a"; } - -.fa-face-frown-open::before { - content: "\f57a"; } - -.fa-frown-open::before { - content: "\f57a"; } - -.fa-hand-point-up::before { - content: "\f0a6"; } - -.fa-money-bill::before { - content: "\f0d6"; } - -.fa-bookmark::before { - content: "\f02e"; } - -.fa-align-justify::before { - content: "\f039"; } - -.fa-umbrella-beach::before { - content: "\f5ca"; } - -.fa-helmet-un::before { - content: "\e503"; } - -.fa-bullseye::before { - content: "\f140"; } - -.fa-bacon::before { - content: "\f7e5"; } - -.fa-hand-point-down::before { - content: "\f0a7"; } - -.fa-arrow-up-from-bracket::before { - content: "\e09a"; } - -.fa-folder::before { - content: "\f07b"; } - -.fa-folder-blank::before { - content: "\f07b"; } - -.fa-file-waveform::before { - content: "\f478"; } - -.fa-file-medical-alt::before { - content: "\f478"; } - -.fa-radiation::before { - content: "\f7b9"; } - -.fa-chart-simple::before { - content: "\e473"; } - -.fa-mars-stroke::before { - content: "\f229"; } - -.fa-vial::before { - content: "\f492"; } - -.fa-gauge::before { - content: "\f624"; } - -.fa-dashboard::before { - content: "\f624"; } - -.fa-gauge-med::before { - content: "\f624"; } - -.fa-tachometer-alt-average::before { - content: "\f624"; } - -.fa-wand-magic-sparkles::before { - content: "\e2ca"; } - -.fa-magic-wand-sparkles::before { - content: "\e2ca"; } - -.fa-e::before { - content: "\45"; } - -.fa-pen-clip::before { - content: "\f305"; } - -.fa-pen-alt::before { - content: "\f305"; } - -.fa-bridge-circle-exclamation::before { - content: "\e4ca"; } - -.fa-user::before { - content: "\f007"; } - -.fa-school-circle-check::before { - content: "\e56b"; } - -.fa-dumpster::before { - content: "\f793"; } - -.fa-van-shuttle::before { - content: "\f5b6"; } - -.fa-shuttle-van::before { - content: "\f5b6"; } - -.fa-building-user::before { - content: "\e4da"; } - -.fa-square-caret-left::before { - content: "\f191"; } - -.fa-caret-square-left::before { - content: "\f191"; } - -.fa-highlighter::before { - content: "\f591"; } - -.fa-key::before { - content: "\f084"; } - -.fa-bullhorn::before { - content: "\f0a1"; } - -.fa-globe::before { - content: "\f0ac"; } - -.fa-synagogue::before { - content: "\f69b"; } - -.fa-person-half-dress::before { - content: "\e548"; } - -.fa-road-bridge::before { - content: "\e563"; } - -.fa-location-arrow::before { - content: "\f124"; } - -.fa-c::before { - content: "\43"; } - -.fa-tablet-button::before { - content: "\f10a"; } - -.fa-building-lock::before { - content: "\e4d6"; } - -.fa-pizza-slice::before { - content: "\f818"; } - -.fa-money-bill-wave::before { - content: "\f53a"; } - -.fa-chart-area::before { - content: "\f1fe"; } - -.fa-area-chart::before { - content: "\f1fe"; } - -.fa-house-flag::before { - content: "\e50d"; } - -.fa-person-circle-minus::before { - content: "\e540"; } - -.fa-ban::before { - content: "\f05e"; } - -.fa-cancel::before { - content: "\f05e"; } - -.fa-camera-rotate::before { - content: "\e0d8"; } - -.fa-spray-can-sparkles::before { - content: "\f5d0"; } - -.fa-air-freshener::before { - content: "\f5d0"; } - -.fa-star::before { - content: "\f005"; } - -.fa-repeat::before { - content: "\f363"; } - -.fa-cross::before { - content: "\f654"; } - -.fa-box::before { - content: "\f466"; } - -.fa-venus-mars::before { - content: "\f228"; } - -.fa-arrow-pointer::before { - content: "\f245"; } - -.fa-mouse-pointer::before { - content: "\f245"; } - -.fa-maximize::before { - content: "\f31e"; } - -.fa-expand-arrows-alt::before { - content: "\f31e"; } - -.fa-charging-station::before { - content: "\f5e7"; } - -.fa-shapes::before { - content: "\f61f"; } - -.fa-triangle-circle-square::before { - content: "\f61f"; } - -.fa-shuffle::before { - content: "\f074"; } - -.fa-random::before { - content: "\f074"; } - -.fa-person-running::before { - content: "\f70c"; } - -.fa-running::before { - content: "\f70c"; } - -.fa-mobile-retro::before { - content: "\e527"; } - -.fa-grip-lines-vertical::before { - content: "\f7a5"; } - -.fa-spider::before { - content: "\f717"; } - -.fa-hands-bound::before { - content: "\e4f9"; } - -.fa-file-invoice-dollar::before { - content: "\f571"; } - -.fa-plane-circle-exclamation::before { - content: "\e556"; } - -.fa-x-ray::before { - content: "\f497"; } - -.fa-spell-check::before { - content: "\f891"; } - -.fa-slash::before { - content: "\f715"; } - -.fa-computer-mouse::before { - content: "\f8cc"; } - -.fa-mouse::before { - content: "\f8cc"; } - -.fa-arrow-right-to-bracket::before { - content: "\f090"; } - -.fa-sign-in::before { - content: "\f090"; } - -.fa-shop-slash::before { - content: "\e070"; } - -.fa-store-alt-slash::before { - content: "\e070"; } - -.fa-server::before { - content: "\f233"; } - -.fa-virus-covid-slash::before { - content: "\e4a9"; } - -.fa-shop-lock::before { - content: "\e4a5"; } - -.fa-hourglass-start::before { - content: "\f251"; } - -.fa-hourglass-1::before { - content: "\f251"; } - -.fa-blender-phone::before { - content: "\f6b6"; } - -.fa-building-wheat::before { - content: "\e4db"; } - -.fa-person-breastfeeding::before { - content: "\e53a"; } - -.fa-right-to-bracket::before { - content: "\f2f6"; } - -.fa-sign-in-alt::before { - content: "\f2f6"; } - -.fa-venus::before { - content: "\f221"; } - -.fa-passport::before { - content: "\f5ab"; } - -.fa-heart-pulse::before { - content: "\f21e"; } - -.fa-heartbeat::before { - content: "\f21e"; } - -.fa-people-carry-box::before { - content: "\f4ce"; } - -.fa-people-carry::before { - content: "\f4ce"; } - -.fa-temperature-high::before { - content: "\f769"; } - -.fa-microchip::before { - content: "\f2db"; } - -.fa-crown::before { - content: "\f521"; } - -.fa-weight-hanging::before { - content: "\f5cd"; } - -.fa-xmarks-lines::before { - content: "\e59a"; } - -.fa-file-prescription::before { - content: "\f572"; } - -.fa-weight-scale::before { - content: "\f496"; } - -.fa-weight::before { - content: "\f496"; } - -.fa-user-group::before { - content: "\f500"; } - -.fa-user-friends::before { - content: "\f500"; } - -.fa-arrow-up-a-z::before { - content: "\f15e"; } - -.fa-sort-alpha-up::before { - content: "\f15e"; } - -.fa-chess-knight::before { - content: "\f441"; } - -.fa-face-laugh-squint::before { - content: "\f59b"; } - -.fa-laugh-squint::before { - content: "\f59b"; } - -.fa-wheelchair::before { - content: "\f193"; } - -.fa-circle-arrow-up::before { - content: "\f0aa"; } - -.fa-arrow-circle-up::before { - content: "\f0aa"; } - -.fa-toggle-on::before { - content: "\f205"; } - -.fa-person-walking::before { - content: "\f554"; } - -.fa-walking::before { - content: "\f554"; } - -.fa-l::before { - content: "\4c"; } - -.fa-fire::before { - content: "\f06d"; } - -.fa-bed-pulse::before { - content: "\f487"; } - -.fa-procedures::before { - content: "\f487"; } - -.fa-shuttle-space::before { - content: "\f197"; } - -.fa-space-shuttle::before { - content: "\f197"; } - -.fa-face-laugh::before { - content: "\f599"; } - -.fa-laugh::before { - content: "\f599"; } - -.fa-folder-open::before { - content: "\f07c"; } - -.fa-heart-circle-plus::before { - content: "\e500"; } - -.fa-code-fork::before { - content: "\e13b"; } - -.fa-city::before { - content: "\f64f"; } - -.fa-microphone-lines::before { - content: "\f3c9"; } - -.fa-microphone-alt::before { - content: "\f3c9"; } - -.fa-pepper-hot::before { - content: "\f816"; } - -.fa-unlock::before { - content: "\f09c"; } - -.fa-colon-sign::before { - content: "\e140"; } - -.fa-headset::before { - content: "\f590"; } - -.fa-store-slash::before { - content: "\e071"; } - -.fa-road-circle-xmark::before { - content: "\e566"; } - -.fa-user-minus::before { - content: "\f503"; } - -.fa-mars-stroke-up::before { - content: "\f22a"; } - -.fa-mars-stroke-v::before { - content: "\f22a"; } - -.fa-champagne-glasses::before { - content: "\f79f"; } - -.fa-glass-cheers::before { - content: "\f79f"; } - -.fa-clipboard::before { - content: "\f328"; } - -.fa-house-circle-exclamation::before { - content: "\e50a"; } - -.fa-file-arrow-up::before { - content: "\f574"; } - -.fa-file-upload::before { - content: "\f574"; } - -.fa-wifi::before { - content: "\f1eb"; } - -.fa-wifi-3::before { - content: "\f1eb"; } - -.fa-wifi-strong::before { - content: "\f1eb"; } - -.fa-bath::before { - content: "\f2cd"; } - -.fa-bathtub::before { - content: "\f2cd"; } - -.fa-underline::before { - content: "\f0cd"; } - -.fa-user-pen::before { - content: "\f4ff"; } - -.fa-user-edit::before { - content: "\f4ff"; } - -.fa-signature::before { - content: "\f5b7"; } - -.fa-stroopwafel::before { - content: "\f551"; } - -.fa-bold::before { - content: "\f032"; } - -.fa-anchor-lock::before { - content: "\e4ad"; } - -.fa-building-ngo::before { - content: "\e4d7"; } - -.fa-manat-sign::before { - content: "\e1d5"; } - -.fa-not-equal::before { - content: "\f53e"; } - -.fa-border-top-left::before { - content: "\f853"; } - -.fa-border-style::before { - content: "\f853"; } - -.fa-map-location-dot::before { - content: "\f5a0"; } - -.fa-map-marked-alt::before { - content: "\f5a0"; } - -.fa-jedi::before { - content: "\f669"; } - -.fa-square-poll-vertical::before { - content: "\f681"; } - -.fa-poll::before { - content: "\f681"; } - -.fa-mug-hot::before { - content: "\f7b6"; } - -.fa-car-battery::before { - content: "\f5df"; } - -.fa-battery-car::before { - content: "\f5df"; } - -.fa-gift::before { - content: "\f06b"; } - -.fa-dice-two::before { - content: "\f528"; } - -.fa-chess-queen::before { - content: "\f445"; } - -.fa-glasses::before { - content: "\f530"; } - -.fa-chess-board::before { - content: "\f43c"; } - -.fa-building-circle-check::before { - content: "\e4d2"; } - -.fa-person-chalkboard::before { - content: "\e53d"; } - -.fa-mars-stroke-right::before { - content: "\f22b"; } - -.fa-mars-stroke-h::before { - content: "\f22b"; } - -.fa-hand-back-fist::before { - content: "\f255"; } - -.fa-hand-rock::before { - content: "\f255"; } - -.fa-square-caret-up::before { - content: "\f151"; } - -.fa-caret-square-up::before { - content: "\f151"; } - -.fa-cloud-showers-water::before { - content: "\e4e4"; } - -.fa-chart-bar::before { - content: "\f080"; } - -.fa-bar-chart::before { - content: "\f080"; } - -.fa-hands-bubbles::before { - content: "\e05e"; } - -.fa-hands-wash::before { - content: "\e05e"; } - -.fa-less-than-equal::before { - content: "\f537"; } - -.fa-train::before { - content: "\f238"; } - -.fa-eye-low-vision::before { - content: "\f2a8"; } - -.fa-low-vision::before { - content: "\f2a8"; } - -.fa-crow::before { - content: "\f520"; } - -.fa-sailboat::before { - content: "\e445"; } - -.fa-window-restore::before { - content: "\f2d2"; } - -.fa-square-plus::before { - content: "\f0fe"; } - -.fa-plus-square::before { - content: "\f0fe"; } - -.fa-torii-gate::before { - content: "\f6a1"; } - -.fa-frog::before { - content: "\f52e"; } - -.fa-bucket::before { - content: "\e4cf"; } - -.fa-image::before { - content: "\f03e"; } - -.fa-microphone::before { - content: "\f130"; } - -.fa-cow::before { - content: "\f6c8"; } - -.fa-caret-up::before { - content: "\f0d8"; } - -.fa-screwdriver::before { - content: "\f54a"; } - -.fa-folder-closed::before { - content: "\e185"; } - -.fa-house-tsunami::before { - content: "\e515"; } - -.fa-square-nfi::before { - content: "\e576"; } - -.fa-arrow-up-from-ground-water::before { - content: "\e4b5"; } - -.fa-martini-glass::before { - content: "\f57b"; } - -.fa-glass-martini-alt::before { - content: "\f57b"; } - -.fa-rotate-left::before { - content: "\f2ea"; } - -.fa-rotate-back::before { - content: "\f2ea"; } - -.fa-rotate-backward::before { - content: "\f2ea"; } - -.fa-undo-alt::before { - content: "\f2ea"; } - -.fa-table-columns::before { - content: "\f0db"; } - -.fa-columns::before { - content: "\f0db"; } - -.fa-lemon::before { - content: "\f094"; } - -.fa-head-side-mask::before { - content: "\e063"; } - -.fa-handshake::before { - content: "\f2b5"; } - -.fa-gem::before { - content: "\f3a5"; } - -.fa-dolly::before { - content: "\f472"; } - -.fa-dolly-box::before { - content: "\f472"; } - -.fa-smoking::before { - content: "\f48d"; } - -.fa-minimize::before { - content: "\f78c"; } - -.fa-compress-arrows-alt::before { - content: "\f78c"; } - -.fa-monument::before { - content: "\f5a6"; } - -.fa-snowplow::before { - content: "\f7d2"; } - -.fa-angles-right::before { - content: "\f101"; } - -.fa-angle-double-right::before { - content: "\f101"; } - -.fa-cannabis::before { - content: "\f55f"; } - -.fa-circle-play::before { - content: "\f144"; } - -.fa-play-circle::before { - content: "\f144"; } - -.fa-tablets::before { - content: "\f490"; } - -.fa-ethernet::before { - content: "\f796"; } - -.fa-euro-sign::before { - content: "\f153"; } - -.fa-eur::before { - content: "\f153"; } - -.fa-euro::before { - content: "\f153"; } - -.fa-chair::before { - content: "\f6c0"; } - -.fa-circle-check::before { - content: "\f058"; } - -.fa-check-circle::before { - content: "\f058"; } - -.fa-circle-stop::before { - content: "\f28d"; } - -.fa-stop-circle::before { - content: "\f28d"; } - -.fa-compass-drafting::before { - content: "\f568"; } - -.fa-drafting-compass::before { - content: "\f568"; } - -.fa-plate-wheat::before { - content: "\e55a"; } - -.fa-icicles::before { - content: "\f7ad"; } - -.fa-person-shelter::before { - content: "\e54f"; } - -.fa-neuter::before { - content: "\f22c"; } - -.fa-id-badge::before { - content: "\f2c1"; } - -.fa-marker::before { - content: "\f5a1"; } - -.fa-face-laugh-beam::before { - content: "\f59a"; } - -.fa-laugh-beam::before { - content: "\f59a"; } - -.fa-helicopter-symbol::before { - content: "\e502"; } - -.fa-universal-access::before { - content: "\f29a"; } - -.fa-circle-chevron-up::before { - content: "\f139"; } - -.fa-chevron-circle-up::before { - content: "\f139"; } - -.fa-lari-sign::before { - content: "\e1c8"; } - -.fa-volcano::before { - content: "\f770"; } - -.fa-person-walking-dashed-line-arrow-right::before { - content: "\e553"; } - -.fa-sterling-sign::before { - content: "\f154"; } - -.fa-gbp::before { - content: "\f154"; } - -.fa-pound-sign::before { - content: "\f154"; } - -.fa-viruses::before { - content: "\e076"; } - -.fa-square-person-confined::before { - content: "\e577"; } - -.fa-user-tie::before { - content: "\f508"; } - -.fa-arrow-down-long::before { - content: "\f175"; } - -.fa-long-arrow-down::before { - content: "\f175"; } - -.fa-tent-arrow-down-to-line::before { - content: "\e57e"; } - -.fa-certificate::before { - content: "\f0a3"; } - -.fa-reply-all::before { - content: "\f122"; } - -.fa-mail-reply-all::before { - content: "\f122"; } - -.fa-suitcase::before { - content: "\f0f2"; } - -.fa-person-skating::before { - content: "\f7c5"; } - -.fa-skating::before { - content: "\f7c5"; } - -.fa-filter-circle-dollar::before { - content: "\f662"; } - -.fa-funnel-dollar::before { - content: "\f662"; } - -.fa-camera-retro::before { - content: "\f083"; } - -.fa-circle-arrow-down::before { - content: "\f0ab"; } - -.fa-arrow-circle-down::before { - content: "\f0ab"; } - -.fa-file-import::before { - content: "\f56f"; } - -.fa-arrow-right-to-file::before { - content: "\f56f"; } - -.fa-square-arrow-up-right::before { - content: "\f14c"; } - -.fa-external-link-square::before { - content: "\f14c"; } - -.fa-box-open::before { - content: "\f49e"; } - -.fa-scroll::before { - content: "\f70e"; } - -.fa-spa::before { - content: "\f5bb"; } - -.fa-location-pin-lock::before { - content: "\e51f"; } - -.fa-pause::before { - content: "\f04c"; } - -.fa-hill-avalanche::before { - content: "\e507"; } - -.fa-temperature-empty::before { - content: "\f2cb"; } - -.fa-temperature-0::before { - content: "\f2cb"; } - -.fa-thermometer-0::before { - content: "\f2cb"; } - -.fa-thermometer-empty::before { - content: "\f2cb"; } - -.fa-bomb::before { - content: "\f1e2"; } - -.fa-registered::before { - content: "\f25d"; } - -.fa-address-card::before { - content: "\f2bb"; } - -.fa-contact-card::before { - content: "\f2bb"; } - -.fa-vcard::before { - content: "\f2bb"; } - -.fa-scale-unbalanced-flip::before { - content: "\f516"; } - -.fa-balance-scale-right::before { - content: "\f516"; } - -.fa-subscript::before { - content: "\f12c"; } - -.fa-diamond-turn-right::before { - content: "\f5eb"; } - -.fa-directions::before { - content: "\f5eb"; } - -.fa-burst::before { - content: "\e4dc"; } - -.fa-house-laptop::before { - content: "\e066"; } - -.fa-laptop-house::before { - content: "\e066"; } - -.fa-face-tired::before { - content: "\f5c8"; } - -.fa-tired::before { - content: "\f5c8"; } - -.fa-money-bills::before { - content: "\e1f3"; } - -.fa-smog::before { - content: "\f75f"; } - -.fa-crutch::before { - content: "\f7f7"; } - -.fa-cloud-arrow-up::before { - content: "\f0ee"; } - -.fa-cloud-upload::before { - content: "\f0ee"; } - -.fa-cloud-upload-alt::before { - content: "\f0ee"; } - -.fa-palette::before { - content: "\f53f"; } - -.fa-arrows-turn-right::before { - content: "\e4c0"; } - -.fa-vest::before { - content: "\e085"; } - -.fa-ferry::before { - content: "\e4ea"; } - -.fa-arrows-down-to-people::before { - content: "\e4b9"; } - -.fa-seedling::before { - content: "\f4d8"; } - -.fa-sprout::before { - content: "\f4d8"; } - -.fa-left-right::before { - content: "\f337"; } - -.fa-arrows-alt-h::before { - content: "\f337"; } - -.fa-boxes-packing::before { - content: "\e4c7"; } - -.fa-circle-arrow-left::before { - content: "\f0a8"; } - -.fa-arrow-circle-left::before { - content: "\f0a8"; } - -.fa-group-arrows-rotate::before { - content: "\e4f6"; } - -.fa-bowl-food::before { - content: "\e4c6"; } - -.fa-candy-cane::before { - content: "\f786"; } - -.fa-arrow-down-wide-short::before { - content: "\f160"; } - -.fa-sort-amount-asc::before { - content: "\f160"; } - -.fa-sort-amount-down::before { - content: "\f160"; } - -.fa-cloud-bolt::before { - content: "\f76c"; } - -.fa-thunderstorm::before { - content: "\f76c"; } - -.fa-text-slash::before { - content: "\f87d"; } - -.fa-remove-format::before { - content: "\f87d"; } - -.fa-face-smile-wink::before { - content: "\f4da"; } - -.fa-smile-wink::before { - content: "\f4da"; } - -.fa-file-word::before { - content: "\f1c2"; } - -.fa-file-powerpoint::before { - content: "\f1c4"; } - -.fa-arrows-left-right::before { - content: "\f07e"; } - -.fa-arrows-h::before { - content: "\f07e"; } - -.fa-house-lock::before { - content: "\e510"; } - -.fa-cloud-arrow-down::before { - content: "\f0ed"; } - -.fa-cloud-download::before { - content: "\f0ed"; } - -.fa-cloud-download-alt::before { - content: "\f0ed"; } - -.fa-children::before { - content: "\e4e1"; } - -.fa-chalkboard::before { - content: "\f51b"; } - -.fa-blackboard::before { - content: "\f51b"; } - -.fa-user-large-slash::before { - content: "\f4fa"; } - -.fa-user-alt-slash::before { - content: "\f4fa"; } - -.fa-envelope-open::before { - content: "\f2b6"; } - -.fa-handshake-simple-slash::before { - content: "\e05f"; } - -.fa-handshake-alt-slash::before { - content: "\e05f"; } - -.fa-mattress-pillow::before { - content: "\e525"; } - -.fa-guarani-sign::before { - content: "\e19a"; } - -.fa-arrows-rotate::before { - content: "\f021"; } - -.fa-refresh::before { - content: "\f021"; } - -.fa-sync::before { - content: "\f021"; } - -.fa-fire-extinguisher::before { - content: "\f134"; } - -.fa-cruzeiro-sign::before { - content: "\e152"; } - -.fa-greater-than-equal::before { - content: "\f532"; } - -.fa-shield-halved::before { - content: "\f3ed"; } - -.fa-shield-alt::before { - content: "\f3ed"; } - -.fa-book-atlas::before { - content: "\f558"; } - -.fa-atlas::before { - content: "\f558"; } - -.fa-virus::before { - content: "\e074"; } - -.fa-envelope-circle-check::before { - content: "\e4e8"; } - -.fa-layer-group::before { - content: "\f5fd"; } - -.fa-arrows-to-dot::before { - content: "\e4be"; } - -.fa-archway::before { - content: "\f557"; } - -.fa-heart-circle-check::before { - content: "\e4fd"; } - -.fa-house-chimney-crack::before { - content: "\f6f1"; } - -.fa-house-damage::before { - content: "\f6f1"; } - -.fa-file-zipper::before { - content: "\f1c6"; } - -.fa-file-archive::before { - content: "\f1c6"; } - -.fa-square::before { - content: "\f0c8"; } - -.fa-martini-glass-empty::before { - content: "\f000"; } - -.fa-glass-martini::before { - content: "\f000"; } - -.fa-couch::before { - content: "\f4b8"; } - -.fa-cedi-sign::before { - content: "\e0df"; } - -.fa-italic::before { - content: "\f033"; } - -.fa-table-cells-column-lock::before { - content: "\e678"; } - -.fa-church::before { - content: "\f51d"; } - -.fa-comments-dollar::before { - content: "\f653"; } - -.fa-democrat::before { - content: "\f747"; } - -.fa-z::before { - content: "\5a"; } - -.fa-person-skiing::before { - content: "\f7c9"; } - -.fa-skiing::before { - content: "\f7c9"; } - -.fa-road-lock::before { - content: "\e567"; } - -.fa-a::before { - content: "\41"; } - -.fa-temperature-arrow-down::before { - content: "\e03f"; } - -.fa-temperature-down::before { - content: "\e03f"; } - -.fa-feather-pointed::before { - content: "\f56b"; } - -.fa-feather-alt::before { - content: "\f56b"; } - -.fa-p::before { - content: "\50"; } - -.fa-snowflake::before { - content: "\f2dc"; } - -.fa-newspaper::before { - content: "\f1ea"; } - -.fa-rectangle-ad::before { - content: "\f641"; } - -.fa-ad::before { - content: "\f641"; } - -.fa-circle-arrow-right::before { - content: "\f0a9"; } - -.fa-arrow-circle-right::before { - content: "\f0a9"; } - -.fa-filter-circle-xmark::before { - content: "\e17b"; } - -.fa-locust::before { - content: "\e520"; } - -.fa-sort::before { - content: "\f0dc"; } - -.fa-unsorted::before { - content: "\f0dc"; } - -.fa-list-ol::before { - content: "\f0cb"; } - -.fa-list-1-2::before { - content: "\f0cb"; } - -.fa-list-numeric::before { - content: "\f0cb"; } - -.fa-person-dress-burst::before { - content: "\e544"; } - -.fa-money-check-dollar::before { - content: "\f53d"; } - -.fa-money-check-alt::before { - content: "\f53d"; } - -.fa-vector-square::before { - content: "\f5cb"; } - -.fa-bread-slice::before { - content: "\f7ec"; } - -.fa-language::before { - content: "\f1ab"; } - -.fa-face-kiss-wink-heart::before { - content: "\f598"; } - -.fa-kiss-wink-heart::before { - content: "\f598"; } - -.fa-filter::before { - content: "\f0b0"; } - -.fa-question::before { - content: "\3f"; } - -.fa-file-signature::before { - content: "\f573"; } - -.fa-up-down-left-right::before { - content: "\f0b2"; } - -.fa-arrows-alt::before { - content: "\f0b2"; } - -.fa-house-chimney-user::before { - content: "\e065"; } - -.fa-hand-holding-heart::before { - content: "\f4be"; } - -.fa-puzzle-piece::before { - content: "\f12e"; } - -.fa-money-check::before { - content: "\f53c"; } - -.fa-star-half-stroke::before { - content: "\f5c0"; } - -.fa-star-half-alt::before { - content: "\f5c0"; } - -.fa-code::before { - content: "\f121"; } - -.fa-whiskey-glass::before { - content: "\f7a0"; } - -.fa-glass-whiskey::before { - content: "\f7a0"; } - -.fa-building-circle-exclamation::before { - content: "\e4d3"; } - -.fa-magnifying-glass-chart::before { - content: "\e522"; } - -.fa-arrow-up-right-from-square::before { - content: "\f08e"; } - -.fa-external-link::before { - content: "\f08e"; } - -.fa-cubes-stacked::before { - content: "\e4e6"; } - -.fa-won-sign::before { - content: "\f159"; } - -.fa-krw::before { - content: "\f159"; } - -.fa-won::before { - content: "\f159"; } - -.fa-virus-covid::before { - content: "\e4a8"; } - -.fa-austral-sign::before { - content: "\e0a9"; } - -.fa-f::before { - content: "\46"; } - -.fa-leaf::before { - content: "\f06c"; } - -.fa-road::before { - content: "\f018"; } - -.fa-taxi::before { - content: "\f1ba"; } - -.fa-cab::before { - content: "\f1ba"; } - -.fa-person-circle-plus::before { - content: "\e541"; } - -.fa-chart-pie::before { - content: "\f200"; } - -.fa-pie-chart::before { - content: "\f200"; } - -.fa-bolt-lightning::before { - content: "\e0b7"; } - -.fa-sack-xmark::before { - content: "\e56a"; } - -.fa-file-excel::before { - content: "\f1c3"; } - -.fa-file-contract::before { - content: "\f56c"; } - -.fa-fish-fins::before { - content: "\e4f2"; } - -.fa-building-flag::before { - content: "\e4d5"; } - -.fa-face-grin-beam::before { - content: "\f582"; } - -.fa-grin-beam::before { - content: "\f582"; } - -.fa-object-ungroup::before { - content: "\f248"; } - -.fa-poop::before { - content: "\f619"; } - -.fa-location-pin::before { - content: "\f041"; } - -.fa-map-marker::before { - content: "\f041"; } - -.fa-kaaba::before { - content: "\f66b"; } - -.fa-toilet-paper::before { - content: "\f71e"; } - -.fa-helmet-safety::before { - content: "\f807"; } - -.fa-hard-hat::before { - content: "\f807"; } - -.fa-hat-hard::before { - content: "\f807"; } - -.fa-eject::before { - content: "\f052"; } - -.fa-circle-right::before { - content: "\f35a"; } - -.fa-arrow-alt-circle-right::before { - content: "\f35a"; } - -.fa-plane-circle-check::before { - content: "\e555"; } - -.fa-face-rolling-eyes::before { - content: "\f5a5"; } - -.fa-meh-rolling-eyes::before { - content: "\f5a5"; } - -.fa-object-group::before { - content: "\f247"; } - -.fa-chart-line::before { - content: "\f201"; } - -.fa-line-chart::before { - content: "\f201"; } - -.fa-mask-ventilator::before { - content: "\e524"; } - -.fa-arrow-right::before { - content: "\f061"; } - -.fa-signs-post::before { - content: "\f277"; } - -.fa-map-signs::before { - content: "\f277"; } - -.fa-cash-register::before { - content: "\f788"; } - -.fa-person-circle-question::before { - content: "\e542"; } - -.fa-h::before { - content: "\48"; } - -.fa-tarp::before { - content: "\e57b"; } - -.fa-screwdriver-wrench::before { - content: "\f7d9"; } - -.fa-tools::before { - content: "\f7d9"; } - -.fa-arrows-to-eye::before { - content: "\e4bf"; } - -.fa-plug-circle-bolt::before { - content: "\e55b"; } - -.fa-heart::before { - content: "\f004"; } - -.fa-mars-and-venus::before { - content: "\f224"; } - -.fa-house-user::before { - content: "\e1b0"; } - -.fa-home-user::before { - content: "\e1b0"; } - -.fa-dumpster-fire::before { - content: "\f794"; } - -.fa-house-crack::before { - content: "\e3b1"; } - -.fa-martini-glass-citrus::before { - content: "\f561"; } - -.fa-cocktail::before { - content: "\f561"; } - -.fa-face-surprise::before { - content: "\f5c2"; } - -.fa-surprise::before { - content: "\f5c2"; } - -.fa-bottle-water::before { - content: "\e4c5"; } - -.fa-circle-pause::before { - content: "\f28b"; } - -.fa-pause-circle::before { - content: "\f28b"; } - -.fa-toilet-paper-slash::before { - content: "\e072"; } - -.fa-apple-whole::before { - content: "\f5d1"; } - -.fa-apple-alt::before { - content: "\f5d1"; } - -.fa-kitchen-set::before { - content: "\e51a"; } - -.fa-r::before { - content: "\52"; } - -.fa-temperature-quarter::before { - content: "\f2ca"; } - -.fa-temperature-1::before { - content: "\f2ca"; } - -.fa-thermometer-1::before { - content: "\f2ca"; } - -.fa-thermometer-quarter::before { - content: "\f2ca"; } - -.fa-cube::before { - content: "\f1b2"; } - -.fa-bitcoin-sign::before { - content: "\e0b4"; } - -.fa-shield-dog::before { - content: "\e573"; } - -.fa-solar-panel::before { - content: "\f5ba"; } - -.fa-lock-open::before { - content: "\f3c1"; } - -.fa-elevator::before { - content: "\e16d"; } - -.fa-money-bill-transfer::before { - content: "\e528"; } - -.fa-money-bill-trend-up::before { - content: "\e529"; } - -.fa-house-flood-water-circle-arrow-right::before { - content: "\e50f"; } - -.fa-square-poll-horizontal::before { - content: "\f682"; } - -.fa-poll-h::before { - content: "\f682"; } - -.fa-circle::before { - content: "\f111"; } - -.fa-backward-fast::before { - content: "\f049"; } - -.fa-fast-backward::before { - content: "\f049"; } - -.fa-recycle::before { - content: "\f1b8"; } - -.fa-user-astronaut::before { - content: "\f4fb"; } - -.fa-plane-slash::before { - content: "\e069"; } - -.fa-trademark::before { - content: "\f25c"; } - -.fa-basketball::before { - content: "\f434"; } - -.fa-basketball-ball::before { - content: "\f434"; } - -.fa-satellite-dish::before { - content: "\f7c0"; } - -.fa-circle-up::before { - content: "\f35b"; } - -.fa-arrow-alt-circle-up::before { - content: "\f35b"; } - -.fa-mobile-screen-button::before { - content: "\f3cd"; } - -.fa-mobile-alt::before { - content: "\f3cd"; } - -.fa-volume-high::before { - content: "\f028"; } - -.fa-volume-up::before { - content: "\f028"; } - -.fa-users-rays::before { - content: "\e593"; } - -.fa-wallet::before { - content: "\f555"; } - -.fa-clipboard-check::before { - content: "\f46c"; } - -.fa-file-audio::before { - content: "\f1c7"; } - -.fa-burger::before { - content: "\f805"; } - -.fa-hamburger::before { - content: "\f805"; } - -.fa-wrench::before { - content: "\f0ad"; } - -.fa-bugs::before { - content: "\e4d0"; } - -.fa-rupee-sign::before { - content: "\f156"; } - -.fa-rupee::before { - content: "\f156"; } - -.fa-file-image::before { - content: "\f1c5"; } - -.fa-circle-question::before { - content: "\f059"; } - -.fa-question-circle::before { - content: "\f059"; } - -.fa-plane-departure::before { - content: "\f5b0"; } - -.fa-handshake-slash::before { - content: "\e060"; } - -.fa-book-bookmark::before { - content: "\e0bb"; } - -.fa-code-branch::before { - content: "\f126"; } - -.fa-hat-cowboy::before { - content: "\f8c0"; } - -.fa-bridge::before { - content: "\e4c8"; } - -.fa-phone-flip::before { - content: "\f879"; } - -.fa-phone-alt::before { - content: "\f879"; } - -.fa-truck-front::before { - content: "\e2b7"; } - -.fa-cat::before { - content: "\f6be"; } - -.fa-anchor-circle-exclamation::before { - content: "\e4ab"; } - -.fa-truck-field::before { - content: "\e58d"; } - -.fa-route::before { - content: "\f4d7"; } - -.fa-clipboard-question::before { - content: "\e4e3"; } - -.fa-panorama::before { - content: "\e209"; } - -.fa-comment-medical::before { - content: "\f7f5"; } - -.fa-teeth-open::before { - content: "\f62f"; } - -.fa-file-circle-minus::before { - content: "\e4ed"; } - -.fa-tags::before { - content: "\f02c"; } - -.fa-wine-glass::before { - content: "\f4e3"; } - -.fa-forward-fast::before { - content: "\f050"; } - -.fa-fast-forward::before { - content: "\f050"; } - -.fa-face-meh-blank::before { - content: "\f5a4"; } - -.fa-meh-blank::before { - content: "\f5a4"; } - -.fa-square-parking::before { - content: "\f540"; } - -.fa-parking::before { - content: "\f540"; } - -.fa-house-signal::before { - content: "\e012"; } - -.fa-bars-progress::before { - content: "\f828"; } - -.fa-tasks-alt::before { - content: "\f828"; } - -.fa-faucet-drip::before { - content: "\e006"; } - -.fa-cart-flatbed::before { - content: "\f474"; } - -.fa-dolly-flatbed::before { - content: "\f474"; } - -.fa-ban-smoking::before { - content: "\f54d"; } - -.fa-smoking-ban::before { - content: "\f54d"; } - -.fa-terminal::before { - content: "\f120"; } - -.fa-mobile-button::before { - content: "\f10b"; } - -.fa-house-medical-flag::before { - content: "\e514"; } - -.fa-basket-shopping::before { - content: "\f291"; } - -.fa-shopping-basket::before { - content: "\f291"; } - -.fa-tape::before { - content: "\f4db"; } - -.fa-bus-simple::before { - content: "\f55e"; } - -.fa-bus-alt::before { - content: "\f55e"; } - -.fa-eye::before { - content: "\f06e"; } - -.fa-face-sad-cry::before { - content: "\f5b3"; } - -.fa-sad-cry::before { - content: "\f5b3"; } - -.fa-audio-description::before { - content: "\f29e"; } - -.fa-person-military-to-person::before { - content: "\e54c"; } - -.fa-file-shield::before { - content: "\e4f0"; } - -.fa-user-slash::before { - content: "\f506"; } - -.fa-pen::before { - content: "\f304"; } - -.fa-tower-observation::before { - content: "\e586"; } - -.fa-file-code::before { - content: "\f1c9"; } - -.fa-signal::before { - content: "\f012"; } - -.fa-signal-5::before { - content: "\f012"; } - -.fa-signal-perfect::before { - content: "\f012"; } - -.fa-bus::before { - content: "\f207"; } - -.fa-heart-circle-xmark::before { - content: "\e501"; } - -.fa-house-chimney::before { - content: "\e3af"; } - -.fa-home-lg::before { - content: "\e3af"; } - -.fa-window-maximize::before { - content: "\f2d0"; } - -.fa-face-frown::before { - content: "\f119"; } - -.fa-frown::before { - content: "\f119"; } - -.fa-prescription::before { - content: "\f5b1"; } - -.fa-shop::before { - content: "\f54f"; } - -.fa-store-alt::before { - content: "\f54f"; } - -.fa-floppy-disk::before { - content: "\f0c7"; } - -.fa-save::before { - content: "\f0c7"; } - -.fa-vihara::before { - content: "\f6a7"; } - -.fa-scale-unbalanced::before { - content: "\f515"; } - -.fa-balance-scale-left::before { - content: "\f515"; } - -.fa-sort-up::before { - content: "\f0de"; } - -.fa-sort-asc::before { - content: "\f0de"; } - -.fa-comment-dots::before { - content: "\f4ad"; } - -.fa-commenting::before { - content: "\f4ad"; } - -.fa-plant-wilt::before { - content: "\e5aa"; } - -.fa-diamond::before { - content: "\f219"; } - -.fa-face-grin-squint::before { - content: "\f585"; } - -.fa-grin-squint::before { - content: "\f585"; } - -.fa-hand-holding-dollar::before { - content: "\f4c0"; } - -.fa-hand-holding-usd::before { - content: "\f4c0"; } - -.fa-bacterium::before { - content: "\e05a"; } - -.fa-hand-pointer::before { - content: "\f25a"; } - -.fa-drum-steelpan::before { - content: "\f56a"; } - -.fa-hand-scissors::before { - content: "\f257"; } - -.fa-hands-praying::before { - content: "\f684"; } - -.fa-praying-hands::before { - content: "\f684"; } - -.fa-arrow-rotate-right::before { - content: "\f01e"; } - -.fa-arrow-right-rotate::before { - content: "\f01e"; } - -.fa-arrow-rotate-forward::before { - content: "\f01e"; } - -.fa-redo::before { - content: "\f01e"; } - -.fa-biohazard::before { - content: "\f780"; } - -.fa-location-crosshairs::before { - content: "\f601"; } - -.fa-location::before { - content: "\f601"; } - -.fa-mars-double::before { - content: "\f227"; } - -.fa-child-dress::before { - content: "\e59c"; } - -.fa-users-between-lines::before { - content: "\e591"; } - -.fa-lungs-virus::before { - content: "\e067"; } - -.fa-face-grin-tears::before { - content: "\f588"; } - -.fa-grin-tears::before { - content: "\f588"; } - -.fa-phone::before { - content: "\f095"; } - -.fa-calendar-xmark::before { - content: "\f273"; } - -.fa-calendar-times::before { - content: "\f273"; } - -.fa-child-reaching::before { - content: "\e59d"; } - -.fa-head-side-virus::before { - content: "\e064"; } - -.fa-user-gear::before { - content: "\f4fe"; } - -.fa-user-cog::before { - content: "\f4fe"; } - -.fa-arrow-up-1-9::before { - content: "\f163"; } - -.fa-sort-numeric-up::before { - content: "\f163"; } - -.fa-door-closed::before { - content: "\f52a"; } - -.fa-shield-virus::before { - content: "\e06c"; } - -.fa-dice-six::before { - content: "\f526"; } - -.fa-mosquito-net::before { - content: "\e52c"; } - -.fa-bridge-water::before { - content: "\e4ce"; } - -.fa-person-booth::before { - content: "\f756"; } - -.fa-text-width::before { - content: "\f035"; } - -.fa-hat-wizard::before { - content: "\f6e8"; } - -.fa-pen-fancy::before { - content: "\f5ac"; } - -.fa-person-digging::before { - content: "\f85e"; } - -.fa-digging::before { - content: "\f85e"; } - -.fa-trash::before { - content: "\f1f8"; } - -.fa-gauge-simple::before { - content: "\f629"; } - -.fa-gauge-simple-med::before { - content: "\f629"; } - -.fa-tachometer-average::before { - content: "\f629"; } - -.fa-book-medical::before { - content: "\f7e6"; } - -.fa-poo::before { - content: "\f2fe"; } - -.fa-quote-right::before { - content: "\f10e"; } - -.fa-quote-right-alt::before { - content: "\f10e"; } - -.fa-shirt::before { - content: "\f553"; } - -.fa-t-shirt::before { - content: "\f553"; } - -.fa-tshirt::before { - content: "\f553"; } - -.fa-cubes::before { - content: "\f1b3"; } - -.fa-divide::before { - content: "\f529"; } - -.fa-tenge-sign::before { - content: "\f7d7"; } - -.fa-tenge::before { - content: "\f7d7"; } - -.fa-headphones::before { - content: "\f025"; } - -.fa-hands-holding::before { - content: "\f4c2"; } - -.fa-hands-clapping::before { - content: "\e1a8"; } - -.fa-republican::before { - content: "\f75e"; } - -.fa-arrow-left::before { - content: "\f060"; } - -.fa-person-circle-xmark::before { - content: "\e543"; } - -.fa-ruler::before { - content: "\f545"; } - -.fa-align-left::before { - content: "\f036"; } - -.fa-dice-d6::before { - content: "\f6d1"; } - -.fa-restroom::before { - content: "\f7bd"; } - -.fa-j::before { - content: "\4a"; } - -.fa-users-viewfinder::before { - content: "\e595"; } - -.fa-file-video::before { - content: "\f1c8"; } - -.fa-up-right-from-square::before { - content: "\f35d"; } - -.fa-external-link-alt::before { - content: "\f35d"; } - -.fa-table-cells::before { - content: "\f00a"; } - -.fa-th::before { - content: "\f00a"; } - -.fa-file-pdf::before { - content: "\f1c1"; } - -.fa-book-bible::before { - content: "\f647"; } - -.fa-bible::before { - content: "\f647"; } - -.fa-o::before { - content: "\4f"; } - -.fa-suitcase-medical::before { - content: "\f0fa"; } - -.fa-medkit::before { - content: "\f0fa"; } - -.fa-user-secret::before { - content: "\f21b"; } - -.fa-otter::before { - content: "\f700"; } - -.fa-person-dress::before { - content: "\f182"; } - -.fa-female::before { - content: "\f182"; } - -.fa-comment-dollar::before { - content: "\f651"; } - -.fa-business-time::before { - content: "\f64a"; } - -.fa-briefcase-clock::before { - content: "\f64a"; } - -.fa-table-cells-large::before { - content: "\f009"; } - -.fa-th-large::before { - content: "\f009"; } - -.fa-book-tanakh::before { - content: "\f827"; } - -.fa-tanakh::before { - content: "\f827"; } - -.fa-phone-volume::before { - content: "\f2a0"; } - -.fa-volume-control-phone::before { - content: "\f2a0"; } - -.fa-hat-cowboy-side::before { - content: "\f8c1"; } - -.fa-clipboard-user::before { - content: "\f7f3"; } - -.fa-child::before { - content: "\f1ae"; } - -.fa-lira-sign::before { - content: "\f195"; } - -.fa-satellite::before { - content: "\f7bf"; } - -.fa-plane-lock::before { - content: "\e558"; } - -.fa-tag::before { - content: "\f02b"; } - -.fa-comment::before { - content: "\f075"; } - -.fa-cake-candles::before { - content: "\f1fd"; } - -.fa-birthday-cake::before { - content: "\f1fd"; } - -.fa-cake::before { - content: "\f1fd"; } - -.fa-envelope::before { - content: "\f0e0"; } - -.fa-angles-up::before { - content: "\f102"; } - -.fa-angle-double-up::before { - content: "\f102"; } - -.fa-paperclip::before { - content: "\f0c6"; } - -.fa-arrow-right-to-city::before { - content: "\e4b3"; } - -.fa-ribbon::before { - content: "\f4d6"; } - -.fa-lungs::before { - content: "\f604"; } - -.fa-arrow-up-9-1::before { - content: "\f887"; } - -.fa-sort-numeric-up-alt::before { - content: "\f887"; } - -.fa-litecoin-sign::before { - content: "\e1d3"; } - -.fa-border-none::before { - content: "\f850"; } - -.fa-circle-nodes::before { - content: "\e4e2"; } - -.fa-parachute-box::before { - content: "\f4cd"; } - -.fa-indent::before { - content: "\f03c"; } - -.fa-truck-field-un::before { - content: "\e58e"; } - -.fa-hourglass::before { - content: "\f254"; } - -.fa-hourglass-empty::before { - content: "\f254"; } - -.fa-mountain::before { - content: "\f6fc"; } - -.fa-user-doctor::before { - content: "\f0f0"; } - -.fa-user-md::before { - content: "\f0f0"; } - -.fa-circle-info::before { - content: "\f05a"; } - -.fa-info-circle::before { - content: "\f05a"; } - -.fa-cloud-meatball::before { - content: "\f73b"; } - -.fa-camera::before { - content: "\f030"; } - -.fa-camera-alt::before { - content: "\f030"; } - -.fa-square-virus::before { - content: "\e578"; } - -.fa-meteor::before { - content: "\f753"; } - -.fa-car-on::before { - content: "\e4dd"; } - -.fa-sleigh::before { - content: "\f7cc"; } - -.fa-arrow-down-1-9::before { - content: "\f162"; } - -.fa-sort-numeric-asc::before { - content: "\f162"; } - -.fa-sort-numeric-down::before { - content: "\f162"; } - -.fa-hand-holding-droplet::before { - content: "\f4c1"; } - -.fa-hand-holding-water::before { - content: "\f4c1"; } - -.fa-water::before { - content: "\f773"; } - -.fa-calendar-check::before { - content: "\f274"; } - -.fa-braille::before { - content: "\f2a1"; } - -.fa-prescription-bottle-medical::before { - content: "\f486"; } - -.fa-prescription-bottle-alt::before { - content: "\f486"; } - -.fa-landmark::before { - content: "\f66f"; } - -.fa-truck::before { - content: "\f0d1"; } - -.fa-crosshairs::before { - content: "\f05b"; } - -.fa-person-cane::before { - content: "\e53c"; } - -.fa-tent::before { - content: "\e57d"; } - -.fa-vest-patches::before { - content: "\e086"; } - -.fa-check-double::before { - content: "\f560"; } - -.fa-arrow-down-a-z::before { - content: "\f15d"; } - -.fa-sort-alpha-asc::before { - content: "\f15d"; } - -.fa-sort-alpha-down::before { - content: "\f15d"; } - -.fa-money-bill-wheat::before { - content: "\e52a"; } - -.fa-cookie::before { - content: "\f563"; } - -.fa-arrow-rotate-left::before { - content: "\f0e2"; } - -.fa-arrow-left-rotate::before { - content: "\f0e2"; } - -.fa-arrow-rotate-back::before { - content: "\f0e2"; } - -.fa-arrow-rotate-backward::before { - content: "\f0e2"; } - -.fa-undo::before { - content: "\f0e2"; } - -.fa-hard-drive::before { - content: "\f0a0"; } - -.fa-hdd::before { - content: "\f0a0"; } - -.fa-face-grin-squint-tears::before { - content: "\f586"; } - -.fa-grin-squint-tears::before { - content: "\f586"; } - -.fa-dumbbell::before { - content: "\f44b"; } - -.fa-rectangle-list::before { - content: "\f022"; } - -.fa-list-alt::before { - content: "\f022"; } - -.fa-tarp-droplet::before { - content: "\e57c"; } - -.fa-house-medical-circle-check::before { - content: "\e511"; } - -.fa-person-skiing-nordic::before { - content: "\f7ca"; } - -.fa-skiing-nordic::before { - content: "\f7ca"; } - -.fa-calendar-plus::before { - content: "\f271"; } - -.fa-plane-arrival::before { - content: "\f5af"; } - -.fa-circle-left::before { - content: "\f359"; } - -.fa-arrow-alt-circle-left::before { - content: "\f359"; } - -.fa-train-subway::before { - content: "\f239"; } - -.fa-subway::before { - content: "\f239"; } - -.fa-chart-gantt::before { - content: "\e0e4"; } - -.fa-indian-rupee-sign::before { - content: "\e1bc"; } - -.fa-indian-rupee::before { - content: "\e1bc"; } - -.fa-inr::before { - content: "\e1bc"; } - -.fa-crop-simple::before { - content: "\f565"; } - -.fa-crop-alt::before { - content: "\f565"; } - -.fa-money-bill-1::before { - content: "\f3d1"; } - -.fa-money-bill-alt::before { - content: "\f3d1"; } - -.fa-left-long::before { - content: "\f30a"; } - -.fa-long-arrow-alt-left::before { - content: "\f30a"; } - -.fa-dna::before { - content: "\f471"; } - -.fa-virus-slash::before { - content: "\e075"; } - -.fa-minus::before { - content: "\f068"; } - -.fa-subtract::before { - content: "\f068"; } - -.fa-chess::before { - content: "\f439"; } - -.fa-arrow-left-long::before { - content: "\f177"; } - -.fa-long-arrow-left::before { - content: "\f177"; } - -.fa-plug-circle-check::before { - content: "\e55c"; } - -.fa-street-view::before { - content: "\f21d"; } - -.fa-franc-sign::before { - content: "\e18f"; } - -.fa-volume-off::before { - content: "\f026"; } - -.fa-hands-asl-interpreting::before { - content: "\f2a3"; } - -.fa-american-sign-language-interpreting::before { - content: "\f2a3"; } - -.fa-asl-interpreting::before { - content: "\f2a3"; } - -.fa-hands-american-sign-language-interpreting::before { - content: "\f2a3"; } - -.fa-gear::before { - content: "\f013"; } - -.fa-cog::before { - content: "\f013"; } - -.fa-droplet-slash::before { - content: "\f5c7"; } - -.fa-tint-slash::before { - content: "\f5c7"; } - -.fa-mosque::before { - content: "\f678"; } - -.fa-mosquito::before { - content: "\e52b"; } - -.fa-star-of-david::before { - content: "\f69a"; } - -.fa-person-military-rifle::before { - content: "\e54b"; } - -.fa-cart-shopping::before { - content: "\f07a"; } - -.fa-shopping-cart::before { - content: "\f07a"; } - -.fa-vials::before { - content: "\f493"; } - -.fa-plug-circle-plus::before { - content: "\e55f"; } - -.fa-place-of-worship::before { - content: "\f67f"; } - -.fa-grip-vertical::before { - content: "\f58e"; } - -.fa-arrow-turn-up::before { - content: "\f148"; } - -.fa-level-up::before { - content: "\f148"; } - -.fa-u::before { - content: "\55"; } - -.fa-square-root-variable::before { - content: "\f698"; } - -.fa-square-root-alt::before { - content: "\f698"; } - -.fa-clock::before { - content: "\f017"; } - -.fa-clock-four::before { - content: "\f017"; } - -.fa-backward-step::before { - content: "\f048"; } - -.fa-step-backward::before { - content: "\f048"; } - -.fa-pallet::before { - content: "\f482"; } - -.fa-faucet::before { - content: "\e005"; } - -.fa-baseball-bat-ball::before { - content: "\f432"; } - -.fa-s::before { - content: "\53"; } - -.fa-timeline::before { - content: "\e29c"; } - -.fa-keyboard::before { - content: "\f11c"; } - -.fa-caret-down::before { - content: "\f0d7"; } - -.fa-house-chimney-medical::before { - content: "\f7f2"; } - -.fa-clinic-medical::before { - content: "\f7f2"; } - -.fa-temperature-three-quarters::before { - content: "\f2c8"; } - -.fa-temperature-3::before { - content: "\f2c8"; } - -.fa-thermometer-3::before { - content: "\f2c8"; } - -.fa-thermometer-three-quarters::before { - content: "\f2c8"; } - -.fa-mobile-screen::before { - content: "\f3cf"; } - -.fa-mobile-android-alt::before { - content: "\f3cf"; } - -.fa-plane-up::before { - content: "\e22d"; } - -.fa-piggy-bank::before { - content: "\f4d3"; } - -.fa-battery-half::before { - content: "\f242"; } - -.fa-battery-3::before { - content: "\f242"; } - -.fa-mountain-city::before { - content: "\e52e"; } - -.fa-coins::before { - content: "\f51e"; } - -.fa-khanda::before { - content: "\f66d"; } - -.fa-sliders::before { - content: "\f1de"; } - -.fa-sliders-h::before { - content: "\f1de"; } - -.fa-folder-tree::before { - content: "\f802"; } - -.fa-network-wired::before { - content: "\f6ff"; } - -.fa-map-pin::before { - content: "\f276"; } - -.fa-hamsa::before { - content: "\f665"; } - -.fa-cent-sign::before { - content: "\e3f5"; } - -.fa-flask::before { - content: "\f0c3"; } - -.fa-person-pregnant::before { - content: "\e31e"; } - -.fa-wand-sparkles::before { - content: "\f72b"; } - -.fa-ellipsis-vertical::before { - content: "\f142"; } - -.fa-ellipsis-v::before { - content: "\f142"; } - -.fa-ticket::before { - content: "\f145"; } - -.fa-power-off::before { - content: "\f011"; } - -.fa-right-long::before { - content: "\f30b"; } - -.fa-long-arrow-alt-right::before { - content: "\f30b"; } - -.fa-flag-usa::before { - content: "\f74d"; } - -.fa-laptop-file::before { - content: "\e51d"; } - -.fa-tty::before { - content: "\f1e4"; } - -.fa-teletype::before { - content: "\f1e4"; } - -.fa-diagram-next::before { - content: "\e476"; } - -.fa-person-rifle::before { - content: "\e54e"; } - -.fa-house-medical-circle-exclamation::before { - content: "\e512"; } - -.fa-closed-captioning::before { - content: "\f20a"; } - -.fa-person-hiking::before { - content: "\f6ec"; } - -.fa-hiking::before { - content: "\f6ec"; } - -.fa-venus-double::before { - content: "\f226"; } - -.fa-images::before { - content: "\f302"; } - -.fa-calculator::before { - content: "\f1ec"; } - -.fa-people-pulling::before { - content: "\e535"; } - -.fa-n::before { - content: "\4e"; } - -.fa-cable-car::before { - content: "\f7da"; } - -.fa-tram::before { - content: "\f7da"; } - -.fa-cloud-rain::before { - content: "\f73d"; } - -.fa-building-circle-xmark::before { - content: "\e4d4"; } - -.fa-ship::before { - content: "\f21a"; } - -.fa-arrows-down-to-line::before { - content: "\e4b8"; } - -.fa-download::before { - content: "\f019"; } - -.fa-face-grin::before { - content: "\f580"; } - -.fa-grin::before { - content: "\f580"; } - -.fa-delete-left::before { - content: "\f55a"; } - -.fa-backspace::before { - content: "\f55a"; } - -.fa-eye-dropper::before { - content: "\f1fb"; } - -.fa-eye-dropper-empty::before { - content: "\f1fb"; } - -.fa-eyedropper::before { - content: "\f1fb"; } - -.fa-file-circle-check::before { - content: "\e5a0"; } - -.fa-forward::before { - content: "\f04e"; } - -.fa-mobile::before { - content: "\f3ce"; } - -.fa-mobile-android::before { - content: "\f3ce"; } - -.fa-mobile-phone::before { - content: "\f3ce"; } - -.fa-face-meh::before { - content: "\f11a"; } - -.fa-meh::before { - content: "\f11a"; } - -.fa-align-center::before { - content: "\f037"; } - -.fa-book-skull::before { - content: "\f6b7"; } - -.fa-book-dead::before { - content: "\f6b7"; } - -.fa-id-card::before { - content: "\f2c2"; } - -.fa-drivers-license::before { - content: "\f2c2"; } - -.fa-outdent::before { - content: "\f03b"; } - -.fa-dedent::before { - content: "\f03b"; } - -.fa-heart-circle-exclamation::before { - content: "\e4fe"; } - -.fa-house::before { - content: "\f015"; } - -.fa-home::before { - content: "\f015"; } - -.fa-home-alt::before { - content: "\f015"; } - -.fa-home-lg-alt::before { - content: "\f015"; } - -.fa-calendar-week::before { - content: "\f784"; } - -.fa-laptop-medical::before { - content: "\f812"; } - -.fa-b::before { - content: "\42"; } - -.fa-file-medical::before { - content: "\f477"; } - -.fa-dice-one::before { - content: "\f525"; } - -.fa-kiwi-bird::before { - content: "\f535"; } - -.fa-arrow-right-arrow-left::before { - content: "\f0ec"; } - -.fa-exchange::before { - content: "\f0ec"; } - -.fa-rotate-right::before { - content: "\f2f9"; } - -.fa-redo-alt::before { - content: "\f2f9"; } - -.fa-rotate-forward::before { - content: "\f2f9"; } - -.fa-utensils::before { - content: "\f2e7"; } - -.fa-cutlery::before { - content: "\f2e7"; } - -.fa-arrow-up-wide-short::before { - content: "\f161"; } - -.fa-sort-amount-up::before { - content: "\f161"; } - -.fa-mill-sign::before { - content: "\e1ed"; } - -.fa-bowl-rice::before { - content: "\e2eb"; } - -.fa-skull::before { - content: "\f54c"; } - -.fa-tower-broadcast::before { - content: "\f519"; } - -.fa-broadcast-tower::before { - content: "\f519"; } - -.fa-truck-pickup::before { - content: "\f63c"; } - -.fa-up-long::before { - content: "\f30c"; } - -.fa-long-arrow-alt-up::before { - content: "\f30c"; } - -.fa-stop::before { - content: "\f04d"; } - -.fa-code-merge::before { - content: "\f387"; } - -.fa-upload::before { - content: "\f093"; } - -.fa-hurricane::before { - content: "\f751"; } - -.fa-mound::before { - content: "\e52d"; } - -.fa-toilet-portable::before { - content: "\e583"; } - -.fa-compact-disc::before { - content: "\f51f"; } - -.fa-file-arrow-down::before { - content: "\f56d"; } - -.fa-file-download::before { - content: "\f56d"; } - -.fa-caravan::before { - content: "\f8ff"; } - -.fa-shield-cat::before { - content: "\e572"; } - -.fa-bolt::before { - content: "\f0e7"; } - -.fa-zap::before { - content: "\f0e7"; } - -.fa-glass-water::before { - content: "\e4f4"; } - -.fa-oil-well::before { - content: "\e532"; } - -.fa-vault::before { - content: "\e2c5"; } - -.fa-mars::before { - content: "\f222"; } - -.fa-toilet::before { - content: "\f7d8"; } - -.fa-plane-circle-xmark::before { - content: "\e557"; } - -.fa-yen-sign::before { - content: "\f157"; } - -.fa-cny::before { - content: "\f157"; } - -.fa-jpy::before { - content: "\f157"; } - -.fa-rmb::before { - content: "\f157"; } - -.fa-yen::before { - content: "\f157"; } - -.fa-ruble-sign::before { - content: "\f158"; } - -.fa-rouble::before { - content: "\f158"; } - -.fa-rub::before { - content: "\f158"; } - -.fa-ruble::before { - content: "\f158"; } - -.fa-sun::before { - content: "\f185"; } - -.fa-guitar::before { - content: "\f7a6"; } - -.fa-face-laugh-wink::before { - content: "\f59c"; } - -.fa-laugh-wink::before { - content: "\f59c"; } - -.fa-horse-head::before { - content: "\f7ab"; } - -.fa-bore-hole::before { - content: "\e4c3"; } - -.fa-industry::before { - content: "\f275"; } - -.fa-circle-down::before { - content: "\f358"; } - -.fa-arrow-alt-circle-down::before { - content: "\f358"; } - -.fa-arrows-turn-to-dots::before { - content: "\e4c1"; } - -.fa-florin-sign::before { - content: "\e184"; } - -.fa-arrow-down-short-wide::before { - content: "\f884"; } - -.fa-sort-amount-desc::before { - content: "\f884"; } - -.fa-sort-amount-down-alt::before { - content: "\f884"; } - -.fa-less-than::before { - content: "\3c"; } - -.fa-angle-down::before { - content: "\f107"; } - -.fa-car-tunnel::before { - content: "\e4de"; } - -.fa-head-side-cough::before { - content: "\e061"; } - -.fa-grip-lines::before { - content: "\f7a4"; } - -.fa-thumbs-down::before { - content: "\f165"; } - -.fa-user-lock::before { - content: "\f502"; } - -.fa-arrow-right-long::before { - content: "\f178"; } - -.fa-long-arrow-right::before { - content: "\f178"; } - -.fa-anchor-circle-xmark::before { - content: "\e4ac"; } - -.fa-ellipsis::before { - content: "\f141"; } - -.fa-ellipsis-h::before { - content: "\f141"; } - -.fa-chess-pawn::before { - content: "\f443"; } - -.fa-kit-medical::before { - content: "\f479"; } - -.fa-first-aid::before { - content: "\f479"; } - -.fa-person-through-window::before { - content: "\e5a9"; } - -.fa-toolbox::before { - content: "\f552"; } - -.fa-hands-holding-circle::before { - content: "\e4fb"; } - -.fa-bug::before { - content: "\f188"; } - -.fa-credit-card::before { - content: "\f09d"; } - -.fa-credit-card-alt::before { - content: "\f09d"; } - -.fa-car::before { - content: "\f1b9"; } - -.fa-automobile::before { - content: "\f1b9"; } - -.fa-hand-holding-hand::before { - content: "\e4f7"; } - -.fa-book-open-reader::before { - content: "\f5da"; } - -.fa-book-reader::before { - content: "\f5da"; } - -.fa-mountain-sun::before { - content: "\e52f"; } - -.fa-arrows-left-right-to-line::before { - content: "\e4ba"; } - -.fa-dice-d20::before { - content: "\f6cf"; } - -.fa-truck-droplet::before { - content: "\e58c"; } - -.fa-file-circle-xmark::before { - content: "\e5a1"; } - -.fa-temperature-arrow-up::before { - content: "\e040"; } - -.fa-temperature-up::before { - content: "\e040"; } - -.fa-medal::before { - content: "\f5a2"; } - -.fa-bed::before { - content: "\f236"; } - -.fa-square-h::before { - content: "\f0fd"; } - -.fa-h-square::before { - content: "\f0fd"; } - -.fa-podcast::before { - content: "\f2ce"; } - -.fa-temperature-full::before { - content: "\f2c7"; } - -.fa-temperature-4::before { - content: "\f2c7"; } - -.fa-thermometer-4::before { - content: "\f2c7"; } - -.fa-thermometer-full::before { - content: "\f2c7"; } - -.fa-bell::before { - content: "\f0f3"; } - -.fa-superscript::before { - content: "\f12b"; } - -.fa-plug-circle-xmark::before { - content: "\e560"; } - -.fa-star-of-life::before { - content: "\f621"; } - -.fa-phone-slash::before { - content: "\f3dd"; } - -.fa-paint-roller::before { - content: "\f5aa"; } - -.fa-handshake-angle::before { - content: "\f4c4"; } - -.fa-hands-helping::before { - content: "\f4c4"; } - -.fa-location-dot::before { - content: "\f3c5"; } - -.fa-map-marker-alt::before { - content: "\f3c5"; } - -.fa-file::before { - content: "\f15b"; } - -.fa-greater-than::before { - content: "\3e"; } - -.fa-person-swimming::before { - content: "\f5c4"; } - -.fa-swimmer::before { - content: "\f5c4"; } - -.fa-arrow-down::before { - content: "\f063"; } - -.fa-droplet::before { - content: "\f043"; } - -.fa-tint::before { - content: "\f043"; } - -.fa-eraser::before { - content: "\f12d"; } - -.fa-earth-americas::before { - content: "\f57d"; } - -.fa-earth::before { - content: "\f57d"; } - -.fa-earth-america::before { - content: "\f57d"; } - -.fa-globe-americas::before { - content: "\f57d"; } - -.fa-person-burst::before { - content: "\e53b"; } - -.fa-dove::before { - content: "\f4ba"; } - -.fa-battery-empty::before { - content: "\f244"; } - -.fa-battery-0::before { - content: "\f244"; } - -.fa-socks::before { - content: "\f696"; } - -.fa-inbox::before { - content: "\f01c"; } - -.fa-section::before { - content: "\e447"; } - -.fa-gauge-high::before { - content: "\f625"; } - -.fa-tachometer-alt::before { - content: "\f625"; } - -.fa-tachometer-alt-fast::before { - content: "\f625"; } - -.fa-envelope-open-text::before { - content: "\f658"; } - -.fa-hospital::before { - content: "\f0f8"; } - -.fa-hospital-alt::before { - content: "\f0f8"; } - -.fa-hospital-wide::before { - content: "\f0f8"; } - -.fa-wine-bottle::before { - content: "\f72f"; } - -.fa-chess-rook::before { - content: "\f447"; } - -.fa-bars-staggered::before { - content: "\f550"; } - -.fa-reorder::before { - content: "\f550"; } - -.fa-stream::before { - content: "\f550"; } - -.fa-dharmachakra::before { - content: "\f655"; } - -.fa-hotdog::before { - content: "\f80f"; } - -.fa-person-walking-with-cane::before { - content: "\f29d"; } - -.fa-blind::before { - content: "\f29d"; } - -.fa-drum::before { - content: "\f569"; } - -.fa-ice-cream::before { - content: "\f810"; } - -.fa-heart-circle-bolt::before { - content: "\e4fc"; } - -.fa-fax::before { - content: "\f1ac"; } - -.fa-paragraph::before { - content: "\f1dd"; } - -.fa-check-to-slot::before { - content: "\f772"; } - -.fa-vote-yea::before { - content: "\f772"; } - -.fa-star-half::before { - content: "\f089"; } - -.fa-boxes-stacked::before { - content: "\f468"; } - -.fa-boxes::before { - content: "\f468"; } - -.fa-boxes-alt::before { - content: "\f468"; } - -.fa-link::before { - content: "\f0c1"; } - -.fa-chain::before { - content: "\f0c1"; } - -.fa-ear-listen::before { - content: "\f2a2"; } - -.fa-assistive-listening-systems::before { - content: "\f2a2"; } - -.fa-tree-city::before { - content: "\e587"; } - -.fa-play::before { - content: "\f04b"; } - -.fa-font::before { - content: "\f031"; } - -.fa-table-cells-row-lock::before { - content: "\e67a"; } - -.fa-rupiah-sign::before { - content: "\e23d"; } - -.fa-magnifying-glass::before { - content: "\f002"; } - -.fa-search::before { - content: "\f002"; } - -.fa-table-tennis-paddle-ball::before { - content: "\f45d"; } - -.fa-ping-pong-paddle-ball::before { - content: "\f45d"; } - -.fa-table-tennis::before { - content: "\f45d"; } - -.fa-person-dots-from-line::before { - content: "\f470"; } - -.fa-diagnoses::before { - content: "\f470"; } - -.fa-trash-can-arrow-up::before { - content: "\f82a"; } - -.fa-trash-restore-alt::before { - content: "\f82a"; } - -.fa-naira-sign::before { - content: "\e1f6"; } - -.fa-cart-arrow-down::before { - content: "\f218"; } - -.fa-walkie-talkie::before { - content: "\f8ef"; } - -.fa-file-pen::before { - content: "\f31c"; } - -.fa-file-edit::before { - content: "\f31c"; } - -.fa-receipt::before { - content: "\f543"; } - -.fa-square-pen::before { - content: "\f14b"; } - -.fa-pen-square::before { - content: "\f14b"; } - -.fa-pencil-square::before { - content: "\f14b"; } - -.fa-suitcase-rolling::before { - content: "\f5c1"; } - -.fa-person-circle-exclamation::before { - content: "\e53f"; } - -.fa-chevron-down::before { - content: "\f078"; } - -.fa-battery-full::before { - content: "\f240"; } - -.fa-battery::before { - content: "\f240"; } - -.fa-battery-5::before { - content: "\f240"; } - -.fa-skull-crossbones::before { - content: "\f714"; } - -.fa-code-compare::before { - content: "\e13a"; } - -.fa-list-ul::before { - content: "\f0ca"; } - -.fa-list-dots::before { - content: "\f0ca"; } - -.fa-school-lock::before { - content: "\e56f"; } - -.fa-tower-cell::before { - content: "\e585"; } - -.fa-down-long::before { - content: "\f309"; } - -.fa-long-arrow-alt-down::before { - content: "\f309"; } - -.fa-ranking-star::before { - content: "\e561"; } - -.fa-chess-king::before { - content: "\f43f"; } - -.fa-person-harassing::before { - content: "\e549"; } - -.fa-brazilian-real-sign::before { - content: "\e46c"; } - -.fa-landmark-dome::before { - content: "\f752"; } - -.fa-landmark-alt::before { - content: "\f752"; } - -.fa-arrow-up::before { - content: "\f062"; } - -.fa-tv::before { - content: "\f26c"; } - -.fa-television::before { - content: "\f26c"; } - -.fa-tv-alt::before { - content: "\f26c"; } - -.fa-shrimp::before { - content: "\e448"; } - -.fa-list-check::before { - content: "\f0ae"; } - -.fa-tasks::before { - content: "\f0ae"; } - -.fa-jug-detergent::before { - content: "\e519"; } - -.fa-circle-user::before { - content: "\f2bd"; } - -.fa-user-circle::before { - content: "\f2bd"; } - -.fa-user-shield::before { - content: "\f505"; } - -.fa-wind::before { - content: "\f72e"; } - -.fa-car-burst::before { - content: "\f5e1"; } - -.fa-car-crash::before { - content: "\f5e1"; } - -.fa-y::before { - content: "\59"; } - -.fa-person-snowboarding::before { - content: "\f7ce"; } - -.fa-snowboarding::before { - content: "\f7ce"; } - -.fa-truck-fast::before { - content: "\f48b"; } - -.fa-shipping-fast::before { - content: "\f48b"; } - -.fa-fish::before { - content: "\f578"; } - -.fa-user-graduate::before { - content: "\f501"; } - -.fa-circle-half-stroke::before { - content: "\f042"; } - -.fa-adjust::before { - content: "\f042"; } - -.fa-clapperboard::before { - content: "\e131"; } - -.fa-circle-radiation::before { - content: "\f7ba"; } - -.fa-radiation-alt::before { - content: "\f7ba"; } - -.fa-baseball::before { - content: "\f433"; } - -.fa-baseball-ball::before { - content: "\f433"; } - -.fa-jet-fighter-up::before { - content: "\e518"; } - -.fa-diagram-project::before { - content: "\f542"; } - -.fa-project-diagram::before { - content: "\f542"; } - -.fa-copy::before { - content: "\f0c5"; } - -.fa-volume-xmark::before { - content: "\f6a9"; } - -.fa-volume-mute::before { - content: "\f6a9"; } - -.fa-volume-times::before { - content: "\f6a9"; } - -.fa-hand-sparkles::before { - content: "\e05d"; } - -.fa-grip::before { - content: "\f58d"; } - -.fa-grip-horizontal::before { - content: "\f58d"; } - -.fa-share-from-square::before { - content: "\f14d"; } - -.fa-share-square::before { - content: "\f14d"; } - -.fa-child-combatant::before { - content: "\e4e0"; } - -.fa-child-rifle::before { - content: "\e4e0"; } - -.fa-gun::before { - content: "\e19b"; } - -.fa-square-phone::before { - content: "\f098"; } - -.fa-phone-square::before { - content: "\f098"; } - -.fa-plus::before { - content: "\2b"; } - -.fa-add::before { - content: "\2b"; } - -.fa-expand::before { - content: "\f065"; } - -.fa-computer::before { - content: "\e4e5"; } - -.fa-xmark::before { - content: "\f00d"; } - -.fa-close::before { - content: "\f00d"; } - -.fa-multiply::before { - content: "\f00d"; } - -.fa-remove::before { - content: "\f00d"; } - -.fa-times::before { - content: "\f00d"; } - -.fa-arrows-up-down-left-right::before { - content: "\f047"; } - -.fa-arrows::before { - content: "\f047"; } - -.fa-chalkboard-user::before { - content: "\f51c"; } - -.fa-chalkboard-teacher::before { - content: "\f51c"; } - -.fa-peso-sign::before { - content: "\e222"; } - -.fa-building-shield::before { - content: "\e4d8"; } - -.fa-baby::before { - content: "\f77c"; } - -.fa-users-line::before { - content: "\e592"; } - -.fa-quote-left::before { - content: "\f10d"; } - -.fa-quote-left-alt::before { - content: "\f10d"; } - -.fa-tractor::before { - content: "\f722"; } - -.fa-trash-arrow-up::before { - content: "\f829"; } - -.fa-trash-restore::before { - content: "\f829"; } - -.fa-arrow-down-up-lock::before { - content: "\e4b0"; } - -.fa-lines-leaning::before { - content: "\e51e"; } - -.fa-ruler-combined::before { - content: "\f546"; } - -.fa-copyright::before { - content: "\f1f9"; } - -.fa-equals::before { - content: "\3d"; } - -.fa-blender::before { - content: "\f517"; } - -.fa-teeth::before { - content: "\f62e"; } - -.fa-shekel-sign::before { - content: "\f20b"; } - -.fa-ils::before { - content: "\f20b"; } - -.fa-shekel::before { - content: "\f20b"; } - -.fa-sheqel::before { - content: "\f20b"; } - -.fa-sheqel-sign::before { - content: "\f20b"; } - -.fa-map::before { - content: "\f279"; } - -.fa-rocket::before { - content: "\f135"; } - -.fa-photo-film::before { - content: "\f87c"; } - -.fa-photo-video::before { - content: "\f87c"; } - -.fa-folder-minus::before { - content: "\f65d"; } - -.fa-store::before { - content: "\f54e"; } - -.fa-arrow-trend-up::before { - content: "\e098"; } - -.fa-plug-circle-minus::before { - content: "\e55e"; } - -.fa-sign-hanging::before { - content: "\f4d9"; } - -.fa-sign::before { - content: "\f4d9"; } - -.fa-bezier-curve::before { - content: "\f55b"; } - -.fa-bell-slash::before { - content: "\f1f6"; } - -.fa-tablet::before { - content: "\f3fb"; } - -.fa-tablet-android::before { - content: "\f3fb"; } - -.fa-school-flag::before { - content: "\e56e"; } - -.fa-fill::before { - content: "\f575"; } - -.fa-angle-up::before { - content: "\f106"; } - -.fa-drumstick-bite::before { - content: "\f6d7"; } - -.fa-holly-berry::before { - content: "\f7aa"; } - -.fa-chevron-left::before { - content: "\f053"; } - -.fa-bacteria::before { - content: "\e059"; } - -.fa-hand-lizard::before { - content: "\f258"; } - -.fa-notdef::before { - content: "\e1fe"; } - -.fa-disease::before { - content: "\f7fa"; } - -.fa-briefcase-medical::before { - content: "\f469"; } - -.fa-genderless::before { - content: "\f22d"; } - -.fa-chevron-right::before { - content: "\f054"; } - -.fa-retweet::before { - content: "\f079"; } - -.fa-car-rear::before { - content: "\f5de"; } - -.fa-car-alt::before { - content: "\f5de"; } - -.fa-pump-soap::before { - content: "\e06b"; } - -.fa-video-slash::before { - content: "\f4e2"; } - -.fa-battery-quarter::before { - content: "\f243"; } - -.fa-battery-2::before { - content: "\f243"; } - -.fa-radio::before { - content: "\f8d7"; } - -.fa-baby-carriage::before { - content: "\f77d"; } - -.fa-carriage-baby::before { - content: "\f77d"; } - -.fa-traffic-light::before { - content: "\f637"; } - -.fa-thermometer::before { - content: "\f491"; } - -.fa-vr-cardboard::before { - content: "\f729"; } - -.fa-hand-middle-finger::before { - content: "\f806"; } - -.fa-percent::before { - content: "\25"; } - -.fa-percentage::before { - content: "\25"; } - -.fa-truck-moving::before { - content: "\f4df"; } - -.fa-glass-water-droplet::before { - content: "\e4f5"; } - -.fa-display::before { - content: "\e163"; } - -.fa-face-smile::before { - content: "\f118"; } - -.fa-smile::before { - content: "\f118"; } - -.fa-thumbtack::before { - content: "\f08d"; } - -.fa-thumb-tack::before { - content: "\f08d"; } - -.fa-trophy::before { - content: "\f091"; } - -.fa-person-praying::before { - content: "\f683"; } - -.fa-pray::before { - content: "\f683"; } - -.fa-hammer::before { - content: "\f6e3"; } - -.fa-hand-peace::before { - content: "\f25b"; } - -.fa-rotate::before { - content: "\f2f1"; } - -.fa-sync-alt::before { - content: "\f2f1"; } - -.fa-spinner::before { - content: "\f110"; } - -.fa-robot::before { - content: "\f544"; } - -.fa-peace::before { - content: "\f67c"; } - -.fa-gears::before { - content: "\f085"; } - -.fa-cogs::before { - content: "\f085"; } - -.fa-warehouse::before { - content: "\f494"; } - -.fa-arrow-up-right-dots::before { - content: "\e4b7"; } - -.fa-splotch::before { - content: "\f5bc"; } - -.fa-face-grin-hearts::before { - content: "\f584"; } - -.fa-grin-hearts::before { - content: "\f584"; } - -.fa-dice-four::before { - content: "\f524"; } - -.fa-sim-card::before { - content: "\f7c4"; } - -.fa-transgender::before { - content: "\f225"; } - -.fa-transgender-alt::before { - content: "\f225"; } - -.fa-mercury::before { - content: "\f223"; } - -.fa-arrow-turn-down::before { - content: "\f149"; } - -.fa-level-down::before { - content: "\f149"; } - -.fa-person-falling-burst::before { - content: "\e547"; } - -.fa-award::before { - content: "\f559"; } - -.fa-ticket-simple::before { - content: "\f3ff"; } - -.fa-ticket-alt::before { - content: "\f3ff"; } - -.fa-building::before { - content: "\f1ad"; } - -.fa-angles-left::before { - content: "\f100"; } - -.fa-angle-double-left::before { - content: "\f100"; } - -.fa-qrcode::before { - content: "\f029"; } - -.fa-clock-rotate-left::before { - content: "\f1da"; } - -.fa-history::before { - content: "\f1da"; } - -.fa-face-grin-beam-sweat::before { - content: "\f583"; } - -.fa-grin-beam-sweat::before { - content: "\f583"; } - -.fa-file-export::before { - content: "\f56e"; } - -.fa-arrow-right-from-file::before { - content: "\f56e"; } - -.fa-shield::before { - content: "\f132"; } - -.fa-shield-blank::before { - content: "\f132"; } - -.fa-arrow-up-short-wide::before { - content: "\f885"; } - -.fa-sort-amount-up-alt::before { - content: "\f885"; } - -.fa-house-medical::before { - content: "\e3b2"; } - -.fa-golf-ball-tee::before { - content: "\f450"; } - -.fa-golf-ball::before { - content: "\f450"; } - -.fa-circle-chevron-left::before { - content: "\f137"; } - -.fa-chevron-circle-left::before { - content: "\f137"; } - -.fa-house-chimney-window::before { - content: "\e00d"; } - -.fa-pen-nib::before { - content: "\f5ad"; } - -.fa-tent-arrow-turn-left::before { - content: "\e580"; } - -.fa-tents::before { - content: "\e582"; } - -.fa-wand-magic::before { - content: "\f0d0"; } - -.fa-magic::before { - content: "\f0d0"; } - -.fa-dog::before { - content: "\f6d3"; } - -.fa-carrot::before { - content: "\f787"; } - -.fa-moon::before { - content: "\f186"; } - -.fa-wine-glass-empty::before { - content: "\f5ce"; } - -.fa-wine-glass-alt::before { - content: "\f5ce"; } - -.fa-cheese::before { - content: "\f7ef"; } - -.fa-yin-yang::before { - content: "\f6ad"; } - -.fa-music::before { - content: "\f001"; } - -.fa-code-commit::before { - content: "\f386"; } - -.fa-temperature-low::before { - content: "\f76b"; } - -.fa-person-biking::before { - content: "\f84a"; } - -.fa-biking::before { - content: "\f84a"; } - -.fa-broom::before { - content: "\f51a"; } - -.fa-shield-heart::before { - content: "\e574"; } - -.fa-gopuram::before { - content: "\f664"; } - -.fa-earth-oceania::before { - content: "\e47b"; } - -.fa-globe-oceania::before { - content: "\e47b"; } - -.fa-square-xmark::before { - content: "\f2d3"; } - -.fa-times-square::before { - content: "\f2d3"; } - -.fa-xmark-square::before { - content: "\f2d3"; } - -.fa-hashtag::before { - content: "\23"; } - -.fa-up-right-and-down-left-from-center::before { - content: "\f424"; } - -.fa-expand-alt::before { - content: "\f424"; } - -.fa-oil-can::before { - content: "\f613"; } - -.fa-t::before { - content: "\54"; } - -.fa-hippo::before { - content: "\f6ed"; } - -.fa-chart-column::before { - content: "\e0e3"; } - -.fa-infinity::before { - content: "\f534"; } - -.fa-vial-circle-check::before { - content: "\e596"; } - -.fa-person-arrow-down-to-line::before { - content: "\e538"; } - -.fa-voicemail::before { - content: "\f897"; } - -.fa-fan::before { - content: "\f863"; } - -.fa-person-walking-luggage::before { - content: "\e554"; } - -.fa-up-down::before { - content: "\f338"; } - -.fa-arrows-alt-v::before { - content: "\f338"; } - -.fa-cloud-moon-rain::before { - content: "\f73c"; } - -.fa-calendar::before { - content: "\f133"; } - -.fa-trailer::before { - content: "\e041"; } - -.fa-bahai::before { - content: "\f666"; } - -.fa-haykal::before { - content: "\f666"; } - -.fa-sd-card::before { - content: "\f7c2"; } - -.fa-dragon::before { - content: "\f6d5"; } - -.fa-shoe-prints::before { - content: "\f54b"; } - -.fa-circle-plus::before { - content: "\f055"; } - -.fa-plus-circle::before { - content: "\f055"; } - -.fa-face-grin-tongue-wink::before { - content: "\f58b"; } - -.fa-grin-tongue-wink::before { - content: "\f58b"; } - -.fa-hand-holding::before { - content: "\f4bd"; } - -.fa-plug-circle-exclamation::before { - content: "\e55d"; } - -.fa-link-slash::before { - content: "\f127"; } - -.fa-chain-broken::before { - content: "\f127"; } - -.fa-chain-slash::before { - content: "\f127"; } - -.fa-unlink::before { - content: "\f127"; } - -.fa-clone::before { - content: "\f24d"; } - -.fa-person-walking-arrow-loop-left::before { - content: "\e551"; } - -.fa-arrow-up-z-a::before { - content: "\f882"; } - -.fa-sort-alpha-up-alt::before { - content: "\f882"; } - -.fa-fire-flame-curved::before { - content: "\f7e4"; } - -.fa-fire-alt::before { - content: "\f7e4"; } - -.fa-tornado::before { - content: "\f76f"; } - -.fa-file-circle-plus::before { - content: "\e494"; } - -.fa-book-quran::before { - content: "\f687"; } - -.fa-quran::before { - content: "\f687"; } - -.fa-anchor::before { - content: "\f13d"; } - -.fa-border-all::before { - content: "\f84c"; } - -.fa-face-angry::before { - content: "\f556"; } - -.fa-angry::before { - content: "\f556"; } - -.fa-cookie-bite::before { - content: "\f564"; } - -.fa-arrow-trend-down::before { - content: "\e097"; } - -.fa-rss::before { - content: "\f09e"; } - -.fa-feed::before { - content: "\f09e"; } - -.fa-draw-polygon::before { - content: "\f5ee"; } - -.fa-scale-balanced::before { - content: "\f24e"; } - -.fa-balance-scale::before { - content: "\f24e"; } - -.fa-gauge-simple-high::before { - content: "\f62a"; } - -.fa-tachometer::before { - content: "\f62a"; } - -.fa-tachometer-fast::before { - content: "\f62a"; } - -.fa-shower::before { - content: "\f2cc"; } - -.fa-desktop::before { - content: "\f390"; } - -.fa-desktop-alt::before { - content: "\f390"; } - -.fa-m::before { - content: "\4d"; } - -.fa-table-list::before { - content: "\f00b"; } - -.fa-th-list::before { - content: "\f00b"; } - -.fa-comment-sms::before { - content: "\f7cd"; } - -.fa-sms::before { - content: "\f7cd"; } - -.fa-book::before { - content: "\f02d"; } - -.fa-user-plus::before { - content: "\f234"; } - -.fa-check::before { - content: "\f00c"; } - -.fa-battery-three-quarters::before { - content: "\f241"; } - -.fa-battery-4::before { - content: "\f241"; } - -.fa-house-circle-check::before { - content: "\e509"; } - -.fa-angle-left::before { - content: "\f104"; } - -.fa-diagram-successor::before { - content: "\e47a"; } - -.fa-truck-arrow-right::before { - content: "\e58b"; } - -.fa-arrows-split-up-and-left::before { - content: "\e4bc"; } - -.fa-hand-fist::before { - content: "\f6de"; } - -.fa-fist-raised::before { - content: "\f6de"; } - -.fa-cloud-moon::before { - content: "\f6c3"; } - -.fa-briefcase::before { - content: "\f0b1"; } - -.fa-person-falling::before { - content: "\e546"; } - -.fa-image-portrait::before { - content: "\f3e0"; } - -.fa-portrait::before { - content: "\f3e0"; } - -.fa-user-tag::before { - content: "\f507"; } - -.fa-rug::before { - content: "\e569"; } - -.fa-earth-europe::before { - content: "\f7a2"; } - -.fa-globe-europe::before { - content: "\f7a2"; } - -.fa-cart-flatbed-suitcase::before { - content: "\f59d"; } - -.fa-luggage-cart::before { - content: "\f59d"; } - -.fa-rectangle-xmark::before { - content: "\f410"; } - -.fa-rectangle-times::before { - content: "\f410"; } - -.fa-times-rectangle::before { - content: "\f410"; } - -.fa-window-close::before { - content: "\f410"; } - -.fa-baht-sign::before { - content: "\e0ac"; } - -.fa-book-open::before { - content: "\f518"; } - -.fa-book-journal-whills::before { - content: "\f66a"; } - -.fa-journal-whills::before { - content: "\f66a"; } - -.fa-handcuffs::before { - content: "\e4f8"; } - -.fa-triangle-exclamation::before { - content: "\f071"; } - -.fa-exclamation-triangle::before { - content: "\f071"; } - -.fa-warning::before { - content: "\f071"; } - -.fa-database::before { - content: "\f1c0"; } - -.fa-share::before { - content: "\f064"; } - -.fa-mail-forward::before { - content: "\f064"; } - -.fa-bottle-droplet::before { - content: "\e4c4"; } - -.fa-mask-face::before { - content: "\e1d7"; } - -.fa-hill-rockslide::before { - content: "\e508"; } - -.fa-right-left::before { - content: "\f362"; } - -.fa-exchange-alt::before { - content: "\f362"; } - -.fa-paper-plane::before { - content: "\f1d8"; } - -.fa-road-circle-exclamation::before { - content: "\e565"; } - -.fa-dungeon::before { - content: "\f6d9"; } - -.fa-align-right::before { - content: "\f038"; } - -.fa-money-bill-1-wave::before { - content: "\f53b"; } - -.fa-money-bill-wave-alt::before { - content: "\f53b"; } - -.fa-life-ring::before { - content: "\f1cd"; } - -.fa-hands::before { - content: "\f2a7"; } - -.fa-sign-language::before { - content: "\f2a7"; } - -.fa-signing::before { - content: "\f2a7"; } - -.fa-calendar-day::before { - content: "\f783"; } - -.fa-water-ladder::before { - content: "\f5c5"; } - -.fa-ladder-water::before { - content: "\f5c5"; } - -.fa-swimming-pool::before { - content: "\f5c5"; } - -.fa-arrows-up-down::before { - content: "\f07d"; } - -.fa-arrows-v::before { - content: "\f07d"; } - -.fa-face-grimace::before { - content: "\f57f"; } - -.fa-grimace::before { - content: "\f57f"; } - -.fa-wheelchair-move::before { - content: "\e2ce"; } - -.fa-wheelchair-alt::before { - content: "\e2ce"; } - -.fa-turn-down::before { - content: "\f3be"; } - -.fa-level-down-alt::before { - content: "\f3be"; } - -.fa-person-walking-arrow-right::before { - content: "\e552"; } - -.fa-square-envelope::before { - content: "\f199"; } - -.fa-envelope-square::before { - content: "\f199"; } - -.fa-dice::before { - content: "\f522"; } - -.fa-bowling-ball::before { - content: "\f436"; } - -.fa-brain::before { - content: "\f5dc"; } - -.fa-bandage::before { - content: "\f462"; } - -.fa-band-aid::before { - content: "\f462"; } - -.fa-calendar-minus::before { - content: "\f272"; } - -.fa-circle-xmark::before { - content: "\f057"; } - -.fa-times-circle::before { - content: "\f057"; } - -.fa-xmark-circle::before { - content: "\f057"; } - -.fa-gifts::before { - content: "\f79c"; } - -.fa-hotel::before { - content: "\f594"; } - -.fa-earth-asia::before { - content: "\f57e"; } - -.fa-globe-asia::before { - content: "\f57e"; } - -.fa-id-card-clip::before { - content: "\f47f"; } - -.fa-id-card-alt::before { - content: "\f47f"; } - -.fa-magnifying-glass-plus::before { - content: "\f00e"; } - -.fa-search-plus::before { - content: "\f00e"; } - -.fa-thumbs-up::before { - content: "\f164"; } - -.fa-user-clock::before { - content: "\f4fd"; } - -.fa-hand-dots::before { - content: "\f461"; } - -.fa-allergies::before { - content: "\f461"; } - -.fa-file-invoice::before { - content: "\f570"; } - -.fa-window-minimize::before { - content: "\f2d1"; } - -.fa-mug-saucer::before { - content: "\f0f4"; } - -.fa-coffee::before { - content: "\f0f4"; } - -.fa-brush::before { - content: "\f55d"; } - -.fa-mask::before { - content: "\f6fa"; } - -.fa-magnifying-glass-minus::before { - content: "\f010"; } - -.fa-search-minus::before { - content: "\f010"; } - -.fa-ruler-vertical::before { - content: "\f548"; } - -.fa-user-large::before { - content: "\f406"; } - -.fa-user-alt::before { - content: "\f406"; } - -.fa-train-tram::before { - content: "\e5b4"; } - -.fa-user-nurse::before { - content: "\f82f"; } - -.fa-syringe::before { - content: "\f48e"; } - -.fa-cloud-sun::before { - content: "\f6c4"; } - -.fa-stopwatch-20::before { - content: "\e06f"; } - -.fa-square-full::before { - content: "\f45c"; } - -.fa-magnet::before { - content: "\f076"; } - -.fa-jar::before { - content: "\e516"; } - -.fa-note-sticky::before { - content: "\f249"; } - -.fa-sticky-note::before { - content: "\f249"; } - -.fa-bug-slash::before { - content: "\e490"; } - -.fa-arrow-up-from-water-pump::before { - content: "\e4b6"; } - -.fa-bone::before { - content: "\f5d7"; } - -.fa-user-injured::before { - content: "\f728"; } - -.fa-face-sad-tear::before { - content: "\f5b4"; } - -.fa-sad-tear::before { - content: "\f5b4"; } - -.fa-plane::before { - content: "\f072"; } - -.fa-tent-arrows-down::before { - content: "\e581"; } - -.fa-exclamation::before { - content: "\21"; } - -.fa-arrows-spin::before { - content: "\e4bb"; } - -.fa-print::before { - content: "\f02f"; } - -.fa-turkish-lira-sign::before { - content: "\e2bb"; } - -.fa-try::before { - content: "\e2bb"; } - -.fa-turkish-lira::before { - content: "\e2bb"; } - -.fa-dollar-sign::before { - content: "\24"; } - -.fa-dollar::before { - content: "\24"; } - -.fa-usd::before { - content: "\24"; } - -.fa-x::before { - content: "\58"; } - -.fa-magnifying-glass-dollar::before { - content: "\f688"; } - -.fa-search-dollar::before { - content: "\f688"; } - -.fa-users-gear::before { - content: "\f509"; } - -.fa-users-cog::before { - content: "\f509"; } - -.fa-person-military-pointing::before { - content: "\e54a"; } - -.fa-building-columns::before { - content: "\f19c"; } - -.fa-bank::before { - content: "\f19c"; } - -.fa-institution::before { - content: "\f19c"; } - -.fa-museum::before { - content: "\f19c"; } - -.fa-university::before { - content: "\f19c"; } - -.fa-umbrella::before { - content: "\f0e9"; } - -.fa-trowel::before { - content: "\e589"; } - -.fa-d::before { - content: "\44"; } - -.fa-stapler::before { - content: "\e5af"; } - -.fa-masks-theater::before { - content: "\f630"; } - -.fa-theater-masks::before { - content: "\f630"; } - -.fa-kip-sign::before { - content: "\e1c4"; } - -.fa-hand-point-left::before { - content: "\f0a5"; } - -.fa-handshake-simple::before { - content: "\f4c6"; } - -.fa-handshake-alt::before { - content: "\f4c6"; } - -.fa-jet-fighter::before { - content: "\f0fb"; } - -.fa-fighter-jet::before { - content: "\f0fb"; } - -.fa-square-share-nodes::before { - content: "\f1e1"; } - -.fa-share-alt-square::before { - content: "\f1e1"; } - -.fa-barcode::before { - content: "\f02a"; } - -.fa-plus-minus::before { - content: "\e43c"; } - -.fa-video::before { - content: "\f03d"; } - -.fa-video-camera::before { - content: "\f03d"; } - -.fa-graduation-cap::before { - content: "\f19d"; } - -.fa-mortar-board::before { - content: "\f19d"; } - -.fa-hand-holding-medical::before { - content: "\e05c"; } - -.fa-person-circle-check::before { - content: "\e53e"; } - -.fa-turn-up::before { - content: "\f3bf"; } - -.fa-level-up-alt::before { - content: "\f3bf"; } - -.sr-only, -.fa-sr-only { - position: absolute; - width: 1px; - height: 1px; - padding: 0; - margin: -1px; - overflow: hidden; - clip: rect(0, 0, 0, 0); - white-space: nowrap; - border-width: 0; } - -.sr-only-focusable:not(:focus), -.fa-sr-only-focusable:not(:focus) { - position: absolute; - width: 1px; - height: 1px; - padding: 0; - margin: -1px; - overflow: hidden; - clip: rect(0, 0, 0, 0); - white-space: nowrap; - border-width: 0; } -:root, :host { - --fa-style-family-brands: 'Font Awesome 6 Brands'; - --fa-font-brands: normal 400 1em/1 'Font Awesome 6 Brands'; } - -@font-face { - font-family: 'Font Awesome 6 Brands'; - font-style: normal; - font-weight: 400; - font-display: block; - src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); } - -.fab, -.fa-brands { - font-weight: 400; } - -.fa-monero:before { - content: "\f3d0"; } - -.fa-hooli:before { - content: "\f427"; } - -.fa-yelp:before { - content: "\f1e9"; } - -.fa-cc-visa:before { - content: "\f1f0"; } - -.fa-lastfm:before { - content: "\f202"; } - -.fa-shopware:before { - content: "\f5b5"; } - -.fa-creative-commons-nc:before { - content: "\f4e8"; } - -.fa-aws:before { - content: "\f375"; } - -.fa-redhat:before { - content: "\f7bc"; } - -.fa-yoast:before { - content: "\f2b1"; } - -.fa-cloudflare:before { - content: "\e07d"; } - -.fa-ups:before { - content: "\f7e0"; } - -.fa-pixiv:before { - content: "\e640"; } - -.fa-wpexplorer:before { - content: "\f2de"; } - -.fa-dyalog:before { - content: "\f399"; } - -.fa-bity:before { - content: "\f37a"; } - -.fa-stackpath:before { - content: "\f842"; } - -.fa-buysellads:before { - content: "\f20d"; } - -.fa-first-order:before { - content: "\f2b0"; } - -.fa-modx:before { - content: "\f285"; } - -.fa-guilded:before { - content: "\e07e"; } - -.fa-vnv:before { - content: "\f40b"; } - -.fa-square-js:before { - content: "\f3b9"; } - -.fa-js-square:before { - content: "\f3b9"; } - -.fa-microsoft:before { - content: "\f3ca"; } - -.fa-qq:before { - content: "\f1d6"; } - -.fa-orcid:before { - content: "\f8d2"; } - -.fa-java:before { - content: "\f4e4"; } - -.fa-invision:before { - content: "\f7b0"; } - -.fa-creative-commons-pd-alt:before { - content: "\f4ed"; } - -.fa-centercode:before { - content: "\f380"; } - -.fa-glide-g:before { - content: "\f2a6"; } - -.fa-drupal:before { - content: "\f1a9"; } - -.fa-jxl:before { - content: "\e67b"; } - -.fa-hire-a-helper:before { - content: "\f3b0"; } - -.fa-creative-commons-by:before { - content: "\f4e7"; } - -.fa-unity:before { - content: "\e049"; } - -.fa-whmcs:before { - content: "\f40d"; } - -.fa-rocketchat:before { - content: "\f3e8"; } - -.fa-vk:before { - content: "\f189"; } - -.fa-untappd:before { - content: "\f405"; } - -.fa-mailchimp:before { - content: "\f59e"; } - -.fa-css3-alt:before { - content: "\f38b"; } - -.fa-square-reddit:before { - content: "\f1a2"; } - -.fa-reddit-square:before { - content: "\f1a2"; } - -.fa-vimeo-v:before { - content: "\f27d"; } - -.fa-contao:before { - content: "\f26d"; } - -.fa-square-font-awesome:before { - content: "\e5ad"; } - -.fa-deskpro:before { - content: "\f38f"; } - -.fa-brave:before { - content: "\e63c"; } - -.fa-sistrix:before { - content: "\f3ee"; } - -.fa-square-instagram:before { - content: "\e055"; } - -.fa-instagram-square:before { - content: "\e055"; } - -.fa-battle-net:before { - content: "\f835"; } - -.fa-the-red-yeti:before { - content: "\f69d"; } - -.fa-square-hacker-news:before { - content: "\f3af"; } - -.fa-hacker-news-square:before { - content: "\f3af"; } - -.fa-edge:before { - content: "\f282"; } - -.fa-threads:before { - content: "\e618"; } - -.fa-napster:before { - content: "\f3d2"; } - -.fa-square-snapchat:before { - content: "\f2ad"; } - -.fa-snapchat-square:before { - content: "\f2ad"; } - -.fa-google-plus-g:before { - content: "\f0d5"; } - -.fa-artstation:before { - content: "\f77a"; } - -.fa-markdown:before { - content: "\f60f"; } - -.fa-sourcetree:before { - content: "\f7d3"; } - -.fa-google-plus:before { - content: "\f2b3"; } - -.fa-diaspora:before { - content: "\f791"; } - -.fa-foursquare:before { - content: "\f180"; } - -.fa-stack-overflow:before { - content: "\f16c"; } - -.fa-github-alt:before { - content: "\f113"; } - -.fa-phoenix-squadron:before { - content: "\f511"; } - -.fa-pagelines:before { - content: "\f18c"; } - -.fa-algolia:before { - content: "\f36c"; } - -.fa-red-river:before { - content: "\f3e3"; } - -.fa-creative-commons-sa:before { - content: "\f4ef"; } - -.fa-safari:before { - content: "\f267"; } - -.fa-google:before { - content: "\f1a0"; } - -.fa-square-font-awesome-stroke:before { - content: "\f35c"; } - -.fa-font-awesome-alt:before { - content: "\f35c"; } - -.fa-atlassian:before { - content: "\f77b"; } - -.fa-linkedin-in:before { - content: "\f0e1"; } - -.fa-digital-ocean:before { - content: "\f391"; } - -.fa-nimblr:before { - content: "\f5a8"; } - -.fa-chromecast:before { - content: "\f838"; } - -.fa-evernote:before { - content: "\f839"; } - -.fa-hacker-news:before { - content: "\f1d4"; } - -.fa-creative-commons-sampling:before { - content: "\f4f0"; } - -.fa-adversal:before { - content: "\f36a"; } - -.fa-creative-commons:before { - content: "\f25e"; } - -.fa-watchman-monitoring:before { - content: "\e087"; } - -.fa-fonticons:before { - content: "\f280"; } - -.fa-weixin:before { - content: "\f1d7"; } - -.fa-shirtsinbulk:before { - content: "\f214"; } - -.fa-codepen:before { - content: "\f1cb"; } - -.fa-git-alt:before { - content: "\f841"; } - -.fa-lyft:before { - content: "\f3c3"; } - -.fa-rev:before { - content: "\f5b2"; } - -.fa-windows:before { - content: "\f17a"; } - -.fa-wizards-of-the-coast:before { - content: "\f730"; } - -.fa-square-viadeo:before { - content: "\f2aa"; } - -.fa-viadeo-square:before { - content: "\f2aa"; } - -.fa-meetup:before { - content: "\f2e0"; } - -.fa-centos:before { - content: "\f789"; } - -.fa-adn:before { - content: "\f170"; } - -.fa-cloudsmith:before { - content: "\f384"; } - -.fa-opensuse:before { - content: "\e62b"; } - -.fa-pied-piper-alt:before { - content: "\f1a8"; } - -.fa-square-dribbble:before { - content: "\f397"; } - -.fa-dribbble-square:before { - content: "\f397"; } - -.fa-codiepie:before { - content: "\f284"; } - -.fa-node:before { - content: "\f419"; } - -.fa-mix:before { - content: "\f3cb"; } - -.fa-steam:before { - content: "\f1b6"; } - -.fa-cc-apple-pay:before { - content: "\f416"; } - -.fa-scribd:before { - content: "\f28a"; } - -.fa-debian:before { - content: "\e60b"; } - -.fa-openid:before { - content: "\f19b"; } - -.fa-instalod:before { - content: "\e081"; } - -.fa-expeditedssl:before { - content: "\f23e"; } - -.fa-sellcast:before { - content: "\f2da"; } - -.fa-square-twitter:before { - content: "\f081"; } - -.fa-twitter-square:before { - content: "\f081"; } - -.fa-r-project:before { - content: "\f4f7"; } - -.fa-delicious:before { - content: "\f1a5"; } - -.fa-freebsd:before { - content: "\f3a4"; } - -.fa-vuejs:before { - content: "\f41f"; } - -.fa-accusoft:before { - content: "\f369"; } - -.fa-ioxhost:before { - content: "\f208"; } - -.fa-fonticons-fi:before { - content: "\f3a2"; } - -.fa-app-store:before { - content: "\f36f"; } - -.fa-cc-mastercard:before { - content: "\f1f1"; } - -.fa-itunes-note:before { - content: "\f3b5"; } - -.fa-golang:before { - content: "\e40f"; } - -.fa-kickstarter:before { - content: "\f3bb"; } - -.fa-square-kickstarter:before { - content: "\f3bb"; } - -.fa-grav:before { - content: "\f2d6"; } - -.fa-weibo:before { - content: "\f18a"; } - -.fa-uncharted:before { - content: "\e084"; } - -.fa-firstdraft:before { - content: "\f3a1"; } - -.fa-square-youtube:before { - content: "\f431"; } - -.fa-youtube-square:before { - content: "\f431"; } - -.fa-wikipedia-w:before { - content: "\f266"; } - -.fa-wpressr:before { - content: "\f3e4"; } - -.fa-rendact:before { - content: "\f3e4"; } - -.fa-angellist:before { - content: "\f209"; } - -.fa-galactic-republic:before { - content: "\f50c"; } - -.fa-nfc-directional:before { - content: "\e530"; } - -.fa-skype:before { - content: "\f17e"; } - -.fa-joget:before { - content: "\f3b7"; } - -.fa-fedora:before { - content: "\f798"; } - -.fa-stripe-s:before { - content: "\f42a"; } - -.fa-meta:before { - content: "\e49b"; } - -.fa-laravel:before { - content: "\f3bd"; } - -.fa-hotjar:before { - content: "\f3b1"; } - -.fa-bluetooth-b:before { - content: "\f294"; } - -.fa-square-letterboxd:before { - content: "\e62e"; } - -.fa-sticker-mule:before { - content: "\f3f7"; } - -.fa-creative-commons-zero:before { - content: "\f4f3"; } - -.fa-hips:before { - content: "\f452"; } - -.fa-behance:before { - content: "\f1b4"; } - -.fa-reddit:before { - content: "\f1a1"; } - -.fa-discord:before { - content: "\f392"; } - -.fa-chrome:before { - content: "\f268"; } - -.fa-app-store-ios:before { - content: "\f370"; } - -.fa-cc-discover:before { - content: "\f1f2"; } - -.fa-wpbeginner:before { - content: "\f297"; } - -.fa-confluence:before { - content: "\f78d"; } - -.fa-shoelace:before { - content: "\e60c"; } - -.fa-mdb:before { - content: "\f8ca"; } - -.fa-dochub:before { - content: "\f394"; } - -.fa-accessible-icon:before { - content: "\f368"; } - -.fa-ebay:before { - content: "\f4f4"; } - -.fa-amazon:before { - content: "\f270"; } - -.fa-unsplash:before { - content: "\e07c"; } - -.fa-yarn:before { - content: "\f7e3"; } - -.fa-square-steam:before { - content: "\f1b7"; } - -.fa-steam-square:before { - content: "\f1b7"; } - -.fa-500px:before { - content: "\f26e"; } - 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- }, - - noop: function() {}, - - isPlainObject: function( obj ) { - var proto, Ctor; - - // Detect obvious negatives - // Use toString instead of jQuery.type to catch host objects - if ( !obj || toString.call( obj ) !== "[object Object]" ) { - return false; - } - - proto = getProto( obj ); - - // Objects with no prototype (e.g., `Object.create( null )`) are plain - if ( !proto ) { - return true; - } - - // Objects with prototype are plain iff they were constructed by a global Object function - Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor; - return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString; - }, - - isEmptyObject: function( obj ) { - var name; - - for ( name in obj ) { - return false; - } - return true; - }, - - // Evaluates a script in a provided context; falls back to the global one - // if not specified. - globalEval: function( code, options, doc ) { - DOMEval( code, { nonce: options && options.nonce }, doc ); - }, - - each: function( obj, callback ) { - var length, i = 0; - - if ( isArrayLike( obj ) ) { - length = obj.length; - for ( ; i < length; i++ ) { - if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { - break; - } - } - } else { - for ( i in obj ) { - if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { - break; - } - } - } - - return obj; - }, - - // results is for internal usage only - makeArray: function( arr, results ) { - var ret = results || []; - - if ( arr != null ) { - if ( isArrayLike( Object( arr ) ) ) { - jQuery.merge( ret, - typeof arr === "string" ? - [ arr ] : arr - ); - } else { - push.call( ret, arr ); - } - } - - return ret; - }, - - inArray: function( elem, arr, i ) { - return arr == null ? -1 : indexOf.call( arr, elem, i ); - }, - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - merge: function( first, second ) { - var len = +second.length, - j = 0, - i = first.length; - - for ( ; j < len; j++ ) { - first[ i++ ] = second[ j ]; - } - - first.length = i; - - return first; - }, - - grep: function( elems, callback, invert ) { - var callbackInverse, - matches = [], - i = 0, - length = elems.length, - callbackExpect = !invert; - - // Go through the array, only saving the items - // that pass the validator function - for ( ; i < length; i++ ) { - callbackInverse = !callback( elems[ i ], i ); - if ( callbackInverse !== callbackExpect ) { - matches.push( elems[ i ] ); - } - } - - return matches; - }, - - // arg is for internal usage only - map: function( elems, callback, arg ) { - var length, value, - i = 0, - ret = []; - - // Go through the array, translating each of the items to their new values - if ( isArrayLike( elems ) ) { - length = elems.length; - for ( ; i < length; i++ ) { - value = callback( elems[ i ], i, arg ); - - if ( value != null ) { - ret.push( value ); - } - } - - // Go through every key on the object, - } else { - for ( i in elems ) { - value = callback( elems[ i ], i, arg ); - - if ( value != null ) { - ret.push( value ); - } - } - } - - // Flatten any nested arrays - return flat( ret ); - }, - - // A global GUID counter for objects - guid: 1, - - // jQuery.support is not used in Core but other projects attach their - // properties to it so it needs to exist. - support: support -} ); - -if ( typeof Symbol === "function" ) { - jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ]; -} - -// Populate the class2type map -jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ), - function( _i, name ) { - class2type[ "[object " + name + "]" ] = name.toLowerCase(); - } ); - -function isArrayLike( obj ) { - - // Support: real iOS 8.2 only (not reproducible in simulator) - // `in` check used to prevent JIT error (gh-2145) - // hasOwn isn't used here due to false negatives - // regarding Nodelist length in IE - var length = !!obj && "length" in obj && obj.length, - type = toType( obj ); - - if ( isFunction( obj ) || isWindow( obj ) ) { - return false; - } - - return type === "array" || length === 0 || - typeof length === "number" && length > 0 && ( length - 1 ) in obj; -} -var Sizzle = -/*! - * Sizzle CSS Selector Engine v2.3.6 - * https://sizzlejs.com/ - * - * Copyright JS Foundation and other contributors - * Released under the MIT license - * https://js.foundation/ - * - * Date: 2021-02-16 - */ -( function( window ) { -var i, - support, - Expr, - getText, - isXML, - tokenize, - compile, - select, - outermostContext, - sortInput, - hasDuplicate, - - // Local document vars - setDocument, - document, - docElem, - documentIsHTML, - rbuggyQSA, - rbuggyMatches, - matches, - contains, - - // Instance-specific data - expando = "sizzle" + 1 * new Date(), - preferredDoc = window.document, - dirruns = 0, - done = 0, - classCache = createCache(), - tokenCache = createCache(), - compilerCache = createCache(), - nonnativeSelectorCache = createCache(), - sortOrder = function( a, b ) { - if ( a === b ) { - hasDuplicate = true; - } - return 0; - }, - - // Instance methods - hasOwn = ( {} ).hasOwnProperty, - arr = [], - pop = arr.pop, - pushNative = arr.push, - push = arr.push, - slice = arr.slice, - - // Use a stripped-down indexOf as it's faster than native - // https://jsperf.com/thor-indexof-vs-for/5 - indexOf = function( list, elem ) { - var i = 0, - len = list.length; - for ( ; i < len; i++ ) { - if ( list[ i ] === elem ) { - return i; - } - } - return -1; - }, - - booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" + - "ismap|loop|multiple|open|readonly|required|scoped", - - // Regular expressions - - // http://www.w3.org/TR/css3-selectors/#whitespace - whitespace = "[\\x20\\t\\r\\n\\f]", - - // https://www.w3.org/TR/css-syntax-3/#ident-token-diagram - identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace + - "?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+", - - // Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors - attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace + - - // Operator (capture 2) - "*([*^$|!~]?=)" + whitespace + - - // "Attribute values must be CSS identifiers [capture 5] - // or strings [capture 3 or capture 4]" - "*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" + - whitespace + "*\\]", - - pseudos = ":(" + identifier + ")(?:\\((" + - - // To reduce the number of selectors needing tokenize in the preFilter, prefer arguments: - // 1. quoted (capture 3; capture 4 or capture 5) - "('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" + - - // 2. simple (capture 6) - "((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" + - - // 3. anything else (capture 2) - ".*" + - ")\\)|)", - - // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter - rwhitespace = new RegExp( whitespace + "+", "g" ), - rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + - whitespace + "+$", "g" ), - - rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ), - rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + - "*" ), - rdescend = new RegExp( whitespace + "|>" ), - - rpseudo = new RegExp( pseudos ), - ridentifier = new RegExp( "^" + identifier + "$" ), - - matchExpr = { - "ID": new RegExp( "^#(" + identifier + ")" ), - "CLASS": new RegExp( "^\\.(" + identifier + ")" ), - "TAG": new RegExp( "^(" + identifier + "|[*])" ), - "ATTR": new RegExp( "^" + attributes ), - "PSEUDO": new RegExp( "^" + pseudos ), - "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + - whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + - whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ), - "bool": new RegExp( "^(?:" + booleans + ")$", "i" ), - - // For use in libraries implementing .is() - // We use this for POS matching in `select` - "needsContext": new RegExp( "^" + whitespace + - "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace + - "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" ) - }, - - rhtml = /HTML$/i, - rinputs = /^(?:input|select|textarea|button)$/i, - rheader = /^h\d$/i, - - rnative = /^[^{]+\{\s*\[native \w/, - - // Easily-parseable/retrievable ID or TAG or CLASS selectors - rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/, - - rsibling = /[+~]/, - - // CSS escapes - // http://www.w3.org/TR/CSS21/syndata.html#escaped-characters - runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ), - funescape = function( escape, nonHex ) { - var high = "0x" + escape.slice( 1 ) - 0x10000; - - return nonHex ? - - // Strip the backslash prefix from a non-hex escape sequence - nonHex : - - // Replace a hexadecimal escape sequence with the encoded Unicode code point - // Support: IE <=11+ - // For values outside the Basic Multilingual Plane (BMP), manually construct a - // surrogate pair - high < 0 ? - String.fromCharCode( high + 0x10000 ) : - String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 ); - }, - - // CSS string/identifier serialization - // https://drafts.csswg.org/cssom/#common-serializing-idioms - rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g, - fcssescape = function( ch, asCodePoint ) { - if ( asCodePoint ) { - - // U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER - if ( ch === "\0" ) { - return "\uFFFD"; - } - - // Control characters and (dependent upon position) numbers get escaped as code points - return ch.slice( 0, -1 ) + "\\" + - ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " "; - } - - // Other potentially-special ASCII characters get backslash-escaped - return "\\" + ch; - }, - - // Used for iframes - // See setDocument() - // Removing the function wrapper causes a "Permission Denied" - // error in IE - unloadHandler = function() { - setDocument(); - }, - - inDisabledFieldset = addCombinator( - function( elem ) { - return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset"; - }, - { dir: "parentNode", next: "legend" } - ); - -// Optimize for push.apply( _, NodeList ) -try { - push.apply( - ( arr = slice.call( preferredDoc.childNodes ) ), - preferredDoc.childNodes - ); - - // Support: Android<4.0 - // Detect silently failing push.apply - // eslint-disable-next-line no-unused-expressions - arr[ preferredDoc.childNodes.length ].nodeType; -} catch ( e ) { - push = { apply: arr.length ? - - // Leverage slice if possible - function( target, els ) { - pushNative.apply( target, slice.call( els ) ); - } : - - // Support: IE<9 - // Otherwise append directly - function( target, els ) { - var j = target.length, - i = 0; - - // Can't trust NodeList.length - while ( ( target[ j++ ] = els[ i++ ] ) ) {} - target.length = j - 1; - } - }; -} - -function Sizzle( selector, context, results, seed ) { - var m, i, elem, nid, match, groups, newSelector, - newContext = context && context.ownerDocument, - - // nodeType defaults to 9, since context defaults to document - nodeType = context ? context.nodeType : 9; - - results = results || []; - - // Return early from calls with invalid selector or context - if ( typeof selector !== "string" || !selector || - nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) { - - return results; - } - - // Try to shortcut find operations (as opposed to filters) in HTML documents - if ( !seed ) { - setDocument( context ); - context = context || document; - - if ( documentIsHTML ) { - - // If the selector is sufficiently simple, try using a "get*By*" DOM method - // (excepting DocumentFragment context, where the methods don't exist) - if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) { - - // ID selector - if ( ( m = match[ 1 ] ) ) { - - // Document context - if ( nodeType === 9 ) { - if ( ( elem = context.getElementById( m ) ) ) { - - // Support: IE, Opera, Webkit - // TODO: identify versions - // getElementById can match elements by name instead of ID - if ( elem.id === m ) { - results.push( elem ); - return results; - } - } else { - return results; - } - - // Element context - } else { - - // Support: IE, Opera, Webkit - // TODO: identify versions - // getElementById can match elements by name instead of ID - if ( newContext && ( elem = newContext.getElementById( m ) ) && - contains( context, elem ) && - elem.id === m ) { - - results.push( elem ); - return results; - } - } - - // Type selector - } else if ( match[ 2 ] ) { - push.apply( results, context.getElementsByTagName( selector ) ); - return results; - - // Class selector - } else if ( ( m = match[ 3 ] ) && support.getElementsByClassName && - context.getElementsByClassName ) { - - push.apply( results, context.getElementsByClassName( m ) ); - return results; - } - } - - // Take advantage of querySelectorAll - if ( support.qsa && - !nonnativeSelectorCache[ selector + " " ] && - ( !rbuggyQSA || !rbuggyQSA.test( selector ) ) && - - // Support: IE 8 only - // Exclude object elements - ( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) { - - newSelector = selector; - newContext = context; - - // qSA considers elements outside a scoping root when evaluating child or - // descendant combinators, which is not what we want. - // In such cases, we work around the behavior by prefixing every selector in the - // list with an ID selector referencing the scope context. - // The technique has to be used as well when a leading combinator is used - // as such selectors are not recognized by querySelectorAll. - // Thanks to Andrew Dupont for this technique. - if ( nodeType === 1 && - ( rdescend.test( selector ) || rcombinators.test( selector ) ) ) { - - // Expand context for sibling selectors - newContext = rsibling.test( selector ) && testContext( context.parentNode ) || - context; - - // We can use :scope instead of the ID hack if the browser - // supports it & if we're not changing the context. - if ( newContext !== context || !support.scope ) { - - // Capture the context ID, setting it first if necessary - if ( ( nid = context.getAttribute( "id" ) ) ) { - nid = nid.replace( rcssescape, fcssescape ); - } else { - context.setAttribute( "id", ( nid = expando ) ); - } - } - - // Prefix every selector in the list - groups = tokenize( selector ); - i = groups.length; - while ( i-- ) { - groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " + - toSelector( groups[ i ] ); - } - newSelector = groups.join( "," ); - } - - try { - push.apply( results, - newContext.querySelectorAll( newSelector ) - ); - return results; - } catch ( qsaError ) { - nonnativeSelectorCache( selector, true ); - } finally { - if ( nid === expando ) { - context.removeAttribute( "id" ); - } - } - } - } - } - - // All others - return select( selector.replace( rtrim, "$1" ), context, results, seed ); -} - -/** - * Create key-value caches of limited size - * @returns {function(string, object)} Returns the Object data after storing it on itself with - * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength) - * deleting the oldest entry - */ -function createCache() { - var keys = []; - - function cache( key, value ) { - - // Use (key + " ") to avoid collision with native prototype properties (see Issue #157) - if ( keys.push( key + " " ) > Expr.cacheLength ) { - - // Only keep the most recent entries - delete cache[ keys.shift() ]; - } - return ( cache[ key + " " ] = value ); - } - return cache; -} - -/** - * Mark a function for special use by Sizzle - * @param {Function} fn The function to mark - */ -function markFunction( fn ) { - fn[ expando ] = true; - return fn; -} - -/** - * Support testing using an element - * @param {Function} fn Passed the created element and returns a boolean result - */ -function assert( fn ) { - var el = document.createElement( "fieldset" ); - - try { - return !!fn( el ); - } catch ( e ) { - return false; - } finally { - - // Remove from its parent by default - if ( el.parentNode ) { - el.parentNode.removeChild( el ); - } - - // release memory in IE - el = null; - } -} - -/** - * Adds the same handler for all of the specified attrs - * @param {String} attrs Pipe-separated list of attributes - * @param {Function} handler The method that will be applied - */ -function addHandle( attrs, handler ) { - var arr = attrs.split( "|" ), - i = arr.length; - - while ( i-- ) { - Expr.attrHandle[ arr[ i ] ] = handler; - } -} - -/** - * Checks document order of two siblings - * @param {Element} a - * @param {Element} b - * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b - */ -function siblingCheck( a, b ) { - var cur = b && a, - diff = cur && a.nodeType === 1 && b.nodeType === 1 && - a.sourceIndex - b.sourceIndex; - - // Use IE sourceIndex if available on both nodes - if ( diff ) { - return diff; - } - - // Check if b follows a - if ( cur ) { - while ( ( cur = cur.nextSibling ) ) { - if ( cur === b ) { - return -1; - } - } - } - - return a ? 1 : -1; -} - -/** - * Returns a function to use in pseudos for input types - * @param {String} type - */ -function createInputPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for buttons - * @param {String} type - */ -function createButtonPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return ( name === "input" || name === "button" ) && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for :enabled/:disabled - * @param {Boolean} disabled true for :disabled; false for :enabled - */ -function createDisabledPseudo( disabled ) { - - // Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable - return function( elem ) { - - // Only certain elements can match :enabled or :disabled - // https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled - // https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled - if ( "form" in elem ) { - - // Check for inherited disabledness on relevant non-disabled elements: - // * listed form-associated elements in a disabled fieldset - // https://html.spec.whatwg.org/multipage/forms.html#category-listed - // https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled - // * option elements in a disabled optgroup - // https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled - // All such elements have a "form" property. - if ( elem.parentNode && elem.disabled === false ) { - - // Option elements defer to a parent optgroup if present - if ( "label" in elem ) { - if ( "label" in elem.parentNode ) { - return elem.parentNode.disabled === disabled; - } else { - return elem.disabled === disabled; - } - } - - // Support: IE 6 - 11 - // Use the isDisabled shortcut property to check for disabled fieldset ancestors - return elem.isDisabled === disabled || - - // Where there is no isDisabled, check manually - /* jshint -W018 */ - elem.isDisabled !== !disabled && - inDisabledFieldset( elem ) === disabled; - } - - return elem.disabled === disabled; - - // Try to winnow out elements that can't be disabled before trusting the disabled property. - // Some victims get caught in our net (label, legend, menu, track), but it shouldn't - // even exist on them, let alone have a boolean value. - } else if ( "label" in elem ) { - return elem.disabled === disabled; - } - - // Remaining elements are neither :enabled nor :disabled - return false; - }; -} - -/** - * Returns a function to use in pseudos for positionals - * @param {Function} fn - */ -function createPositionalPseudo( fn ) { - return markFunction( function( argument ) { - argument = +argument; - return markFunction( function( seed, matches ) { - var j, - matchIndexes = fn( [], seed.length, argument ), - i = matchIndexes.length; - - // Match elements found at the specified indexes - while ( i-- ) { - if ( seed[ ( j = matchIndexes[ i ] ) ] ) { - seed[ j ] = !( matches[ j ] = seed[ j ] ); - } - } - } ); - } ); -} - -/** - * Checks a node for validity as a Sizzle context - * @param {Element|Object=} context - * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value - */ -function testContext( context ) { - return context && typeof context.getElementsByTagName !== "undefined" && context; -} - -// Expose support vars for convenience -support = Sizzle.support = {}; - -/** - * Detects XML nodes - * @param {Element|Object} elem An element or a document - * @returns {Boolean} True iff elem is a non-HTML XML node - */ -isXML = Sizzle.isXML = function( elem ) { - var namespace = elem && elem.namespaceURI, - docElem = elem && ( elem.ownerDocument || elem ).documentElement; - - // Support: IE <=8 - // Assume HTML when documentElement doesn't yet exist, such as inside loading iframes - // https://bugs.jquery.com/ticket/4833 - return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" ); -}; - -/** - * Sets document-related variables once based on the current document - * @param {Element|Object} [doc] An element or document object to use to set the document - * @returns {Object} Returns the current document - */ -setDocument = Sizzle.setDocument = function( node ) { - var hasCompare, subWindow, - doc = node ? node.ownerDocument || node : preferredDoc; - - // Return early if doc is invalid or already selected - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) { - return document; - } - - // Update global variables - document = doc; - docElem = document.documentElement; - documentIsHTML = !isXML( document ); - - // Support: IE 9 - 11+, Edge 12 - 18+ - // Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936) - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( preferredDoc != document && - ( subWindow = document.defaultView ) && subWindow.top !== subWindow ) { - - // Support: IE 11, Edge - if ( subWindow.addEventListener ) { - subWindow.addEventListener( "unload", unloadHandler, false ); - - // Support: IE 9 - 10 only - } else if ( subWindow.attachEvent ) { - subWindow.attachEvent( "onunload", unloadHandler ); - } - } - - // Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only, - // Safari 4 - 5 only, Opera <=11.6 - 12.x only - // IE/Edge & older browsers don't support the :scope pseudo-class. - // Support: Safari 6.0 only - // Safari 6.0 supports :scope but it's an alias of :root there. - support.scope = assert( function( el ) { - docElem.appendChild( el ).appendChild( document.createElement( "div" ) ); - return typeof el.querySelectorAll !== "undefined" && - !el.querySelectorAll( ":scope fieldset div" ).length; - } ); - - /* Attributes - ---------------------------------------------------------------------- */ - - // Support: IE<8 - // Verify that getAttribute really returns attributes and not properties - // (excepting IE8 booleans) - support.attributes = assert( function( el ) { - el.className = "i"; - return !el.getAttribute( "className" ); - } ); - - /* getElement(s)By* - ---------------------------------------------------------------------- */ - - // Check if getElementsByTagName("*") returns only elements - support.getElementsByTagName = assert( function( el ) { - el.appendChild( document.createComment( "" ) ); - return !el.getElementsByTagName( "*" ).length; - } ); - - // Support: IE<9 - support.getElementsByClassName = rnative.test( document.getElementsByClassName ); - - // Support: IE<10 - // Check if getElementById returns elements by name - // The broken getElementById methods don't pick up programmatically-set names, - // so use a roundabout getElementsByName test - support.getById = assert( function( el ) { - docElem.appendChild( el ).id = expando; - return !document.getElementsByName || !document.getElementsByName( expando ).length; - } ); - - // ID filter and find - if ( support.getById ) { - Expr.filter[ "ID" ] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - return elem.getAttribute( "id" ) === attrId; - }; - }; - Expr.find[ "ID" ] = function( id, context ) { - if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { - var elem = context.getElementById( id ); - return elem ? [ elem ] : []; - } - }; - } else { - Expr.filter[ "ID" ] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - var node = typeof elem.getAttributeNode !== "undefined" && - elem.getAttributeNode( "id" ); - return node && node.value === attrId; - }; - }; - - // Support: IE 6 - 7 only - // getElementById is not reliable as a find shortcut - Expr.find[ "ID" ] = function( id, context ) { - if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { - var node, i, elems, - elem = context.getElementById( id ); - - if ( elem ) { - - // Verify the id attribute - node = elem.getAttributeNode( "id" ); - if ( node && node.value === id ) { - return [ elem ]; - } - - // Fall back on getElementsByName - elems = context.getElementsByName( id ); - i = 0; - while ( ( elem = elems[ i++ ] ) ) { - node = elem.getAttributeNode( "id" ); - if ( node && node.value === id ) { - return [ elem ]; - } - } - } - - return []; - } - }; - } - - // Tag - Expr.find[ "TAG" ] = support.getElementsByTagName ? - function( tag, context ) { - if ( typeof context.getElementsByTagName !== "undefined" ) { - return context.getElementsByTagName( tag ); - - // DocumentFragment nodes don't have gEBTN - } else if ( support.qsa ) { - return context.querySelectorAll( tag ); - } - } : - - function( tag, context ) { - var elem, - tmp = [], - i = 0, - - // By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too - results = context.getElementsByTagName( tag ); - - // Filter out possible comments - if ( tag === "*" ) { - while ( ( elem = results[ i++ ] ) ) { - if ( elem.nodeType === 1 ) { - tmp.push( elem ); - } - } - - return tmp; - } - return results; - }; - - // Class - Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) { - if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) { - return context.getElementsByClassName( className ); - } - }; - - /* QSA/matchesSelector - ---------------------------------------------------------------------- */ - - // QSA and matchesSelector support - - // matchesSelector(:active) reports false when true (IE9/Opera 11.5) - rbuggyMatches = []; - - // qSa(:focus) reports false when true (Chrome 21) - // We allow this because of a bug in IE8/9 that throws an error - // whenever `document.activeElement` is accessed on an iframe - // So, we allow :focus to pass through QSA all the time to avoid the IE error - // See https://bugs.jquery.com/ticket/13378 - rbuggyQSA = []; - - if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) { - - // Build QSA regex - // Regex strategy adopted from Diego Perini - assert( function( el ) { - - var input; - - // Select is set to empty string on purpose - // This is to test IE's treatment of not explicitly - // setting a boolean content attribute, - // since its presence should be enough - // https://bugs.jquery.com/ticket/12359 - docElem.appendChild( el ).innerHTML = "" + - ""; - - // Support: IE8, Opera 11-12.16 - // Nothing should be selected when empty strings follow ^= or $= or *= - // The test attribute must be unknown in Opera but "safe" for WinRT - // https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section - if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) { - rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" ); - } - - // Support: IE8 - // Boolean attributes and "value" are not treated correctly - if ( !el.querySelectorAll( "[selected]" ).length ) { - rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" ); - } - - // Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+ - if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) { - rbuggyQSA.push( "~=" ); - } - - // Support: IE 11+, Edge 15 - 18+ - // IE 11/Edge don't find elements on a `[name='']` query in some cases. - // Adding a temporary attribute to the document before the selection works - // around the issue. - // Interestingly, IE 10 & older don't seem to have the issue. - input = document.createElement( "input" ); - input.setAttribute( "name", "" ); - el.appendChild( input ); - if ( !el.querySelectorAll( "[name='']" ).length ) { - rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" + - whitespace + "*(?:''|\"\")" ); - } - - // Webkit/Opera - :checked should return selected option elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - // IE8 throws error here and will not see later tests - if ( !el.querySelectorAll( ":checked" ).length ) { - rbuggyQSA.push( ":checked" ); - } - - // Support: Safari 8+, iOS 8+ - // https://bugs.webkit.org/show_bug.cgi?id=136851 - // In-page `selector#id sibling-combinator selector` fails - if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) { - rbuggyQSA.push( ".#.+[+~]" ); - } - - // Support: Firefox <=3.6 - 5 only - // Old Firefox doesn't throw on a badly-escaped identifier. - el.querySelectorAll( "\\\f" ); - rbuggyQSA.push( "[\\r\\n\\f]" ); - } ); - - assert( function( el ) { - el.innerHTML = "" + - ""; - - // Support: Windows 8 Native Apps - // The type and name attributes are restricted during .innerHTML assignment - var input = document.createElement( "input" ); - input.setAttribute( "type", "hidden" ); - el.appendChild( input ).setAttribute( "name", "D" ); - - // Support: IE8 - // Enforce case-sensitivity of name attribute - if ( el.querySelectorAll( "[name=d]" ).length ) { - rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" ); - } - - // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled) - // IE8 throws error here and will not see later tests - if ( el.querySelectorAll( ":enabled" ).length !== 2 ) { - rbuggyQSA.push( ":enabled", ":disabled" ); - } - - // Support: IE9-11+ - // IE's :disabled selector does not pick up the children of disabled fieldsets - docElem.appendChild( el ).disabled = true; - if ( el.querySelectorAll( ":disabled" ).length !== 2 ) { - rbuggyQSA.push( ":enabled", ":disabled" ); - } - - // Support: Opera 10 - 11 only - // Opera 10-11 does not throw on post-comma invalid pseudos - el.querySelectorAll( "*,:x" ); - rbuggyQSA.push( ",.*:" ); - } ); - } - - if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches || - docElem.webkitMatchesSelector || - docElem.mozMatchesSelector || - docElem.oMatchesSelector || - docElem.msMatchesSelector ) ) ) ) { - - assert( function( el ) { - - // Check to see if it's possible to do matchesSelector - // on a disconnected node (IE 9) - support.disconnectedMatch = matches.call( el, "*" ); - - // This should fail with an exception - // Gecko does not error, returns false instead - matches.call( el, "[s!='']:x" ); - rbuggyMatches.push( "!=", pseudos ); - } ); - } - - rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) ); - rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) ); - - /* Contains - ---------------------------------------------------------------------- */ - hasCompare = rnative.test( docElem.compareDocumentPosition ); - - // Element contains another - // Purposefully self-exclusive - // As in, an element does not contain itself - contains = hasCompare || rnative.test( docElem.contains ) ? - function( a, b ) { - var adown = a.nodeType === 9 ? a.documentElement : a, - bup = b && b.parentNode; - return a === bup || !!( bup && bup.nodeType === 1 && ( - adown.contains ? - adown.contains( bup ) : - a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16 - ) ); - } : - function( a, b ) { - if ( b ) { - while ( ( b = b.parentNode ) ) { - if ( b === a ) { - return true; - } - } - } - return false; - }; - - /* Sorting - ---------------------------------------------------------------------- */ - - // Document order sorting - sortOrder = hasCompare ? - function( a, b ) { - - // Flag for duplicate removal - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - // Sort on method existence if only one input has compareDocumentPosition - var compare = !a.compareDocumentPosition - !b.compareDocumentPosition; - if ( compare ) { - return compare; - } - - // Calculate position if both inputs belong to the same document - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ? - a.compareDocumentPosition( b ) : - - // Otherwise we know they are disconnected - 1; - - // Disconnected nodes - if ( compare & 1 || - ( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) { - - // Choose the first element that is related to our preferred document - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( a == document || a.ownerDocument == preferredDoc && - contains( preferredDoc, a ) ) { - return -1; - } - - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( b == document || b.ownerDocument == preferredDoc && - contains( preferredDoc, b ) ) { - return 1; - } - - // Maintain original order - return sortInput ? - ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : - 0; - } - - return compare & 4 ? -1 : 1; - } : - function( a, b ) { - - // Exit early if the nodes are identical - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - var cur, - i = 0, - aup = a.parentNode, - bup = b.parentNode, - ap = [ a ], - bp = [ b ]; - - // Parentless nodes are either documents or disconnected - if ( !aup || !bup ) { - - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - /* eslint-disable eqeqeq */ - return a == document ? -1 : - b == document ? 1 : - /* eslint-enable eqeqeq */ - aup ? -1 : - bup ? 1 : - sortInput ? - ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : - 0; - - // If the nodes are siblings, we can do a quick check - } else if ( aup === bup ) { - return siblingCheck( a, b ); - } - - // Otherwise we need full lists of their ancestors for comparison - cur = a; - while ( ( cur = cur.parentNode ) ) { - ap.unshift( cur ); - } - cur = b; - while ( ( cur = cur.parentNode ) ) { - bp.unshift( cur ); - } - - // Walk down the tree looking for a discrepancy - while ( ap[ i ] === bp[ i ] ) { - i++; - } - - return i ? - - // Do a sibling check if the nodes have a common ancestor - siblingCheck( ap[ i ], bp[ i ] ) : - - // Otherwise nodes in our document sort first - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - /* eslint-disable eqeqeq */ - ap[ i ] == preferredDoc ? -1 : - bp[ i ] == preferredDoc ? 1 : - /* eslint-enable eqeqeq */ - 0; - }; - - return document; -}; - -Sizzle.matches = function( expr, elements ) { - return Sizzle( expr, null, null, elements ); -}; - -Sizzle.matchesSelector = function( elem, expr ) { - setDocument( elem ); - - if ( support.matchesSelector && documentIsHTML && - !nonnativeSelectorCache[ expr + " " ] && - ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) && - ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) { - - try { - var ret = matches.call( elem, expr ); - - // IE 9's matchesSelector returns false on disconnected nodes - if ( ret || support.disconnectedMatch || - - // As well, disconnected nodes are said to be in a document - // fragment in IE 9 - elem.document && elem.document.nodeType !== 11 ) { - return ret; - } - } catch ( e ) { - nonnativeSelectorCache( expr, true ); - } - } - - return Sizzle( expr, document, null, [ elem ] ).length > 0; -}; - -Sizzle.contains = function( context, elem ) { - - // Set document vars if needed - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( ( context.ownerDocument || context ) != document ) { - setDocument( context ); - } - return contains( context, elem ); -}; - -Sizzle.attr = function( elem, name ) { - - // Set document vars if needed - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( ( elem.ownerDocument || elem ) != document ) { - setDocument( elem ); - } - - var fn = Expr.attrHandle[ name.toLowerCase() ], - - // Don't get fooled by Object.prototype properties (jQuery #13807) - val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ? - fn( elem, name, !documentIsHTML ) : - undefined; - - return val !== undefined ? - val : - support.attributes || !documentIsHTML ? - elem.getAttribute( name ) : - ( val = elem.getAttributeNode( name ) ) && val.specified ? - val.value : - null; -}; - -Sizzle.escape = function( sel ) { - return ( sel + "" ).replace( rcssescape, fcssescape ); -}; - -Sizzle.error = function( msg ) { - throw new Error( "Syntax error, unrecognized expression: " + msg ); -}; - -/** - * Document sorting and removing duplicates - * @param {ArrayLike} results - */ -Sizzle.uniqueSort = function( results ) { - var elem, - duplicates = [], - j = 0, - i = 0; - - // Unless we *know* we can detect duplicates, assume their presence - hasDuplicate = !support.detectDuplicates; - sortInput = !support.sortStable && results.slice( 0 ); - results.sort( sortOrder ); - - if ( hasDuplicate ) { - while ( ( elem = results[ i++ ] ) ) { - if ( elem === results[ i ] ) { - j = duplicates.push( i ); - } - } - while ( j-- ) { - results.splice( duplicates[ j ], 1 ); - } - } - - // Clear input after sorting to release objects - // See https://github.com/jquery/sizzle/pull/225 - sortInput = null; - - return results; -}; - -/** - * Utility function for retrieving the text value of an array of DOM nodes - * @param {Array|Element} elem - */ -getText = Sizzle.getText = function( elem ) { - var node, - ret = "", - i = 0, - nodeType = elem.nodeType; - - if ( !nodeType ) { - - // If no nodeType, this is expected to be an array - while ( ( node = elem[ i++ ] ) ) { - - // Do not traverse comment nodes - ret += getText( node ); - } - } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) { - - // Use textContent for elements - // innerText usage removed for consistency of new lines (jQuery #11153) - if ( typeof elem.textContent === "string" ) { - return elem.textContent; - } else { - - // Traverse its children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - ret += getText( elem ); - } - } - } else if ( nodeType === 3 || nodeType === 4 ) { - return elem.nodeValue; - } - - // Do not include comment or processing instruction nodes - - return ret; -}; - -Expr = Sizzle.selectors = { - - // Can be adjusted by the user - cacheLength: 50, - - createPseudo: markFunction, - - match: matchExpr, - - attrHandle: {}, - - find: {}, - - relative: { - ">": { dir: "parentNode", first: true }, - " ": { dir: "parentNode" }, - "+": { dir: "previousSibling", first: true }, - "~": { dir: "previousSibling" } - }, - - preFilter: { - "ATTR": function( match ) { - match[ 1 ] = match[ 1 ].replace( runescape, funescape ); - - // Move the given value to match[3] whether quoted or unquoted - match[ 3 ] = ( match[ 3 ] || match[ 4 ] || - match[ 5 ] || "" ).replace( runescape, funescape ); - - if ( match[ 2 ] === "~=" ) { - match[ 3 ] = " " + match[ 3 ] + " "; - } - - return match.slice( 0, 4 ); - }, - - "CHILD": function( match ) { - - /* matches from matchExpr["CHILD"] - 1 type (only|nth|...) - 2 what (child|of-type) - 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...) - 4 xn-component of xn+y argument ([+-]?\d*n|) - 5 sign of xn-component - 6 x of xn-component - 7 sign of y-component - 8 y of y-component - */ - match[ 1 ] = match[ 1 ].toLowerCase(); - - if ( match[ 1 ].slice( 0, 3 ) === "nth" ) { - - // nth-* requires argument - if ( !match[ 3 ] ) { - Sizzle.error( match[ 0 ] ); - } - - // numeric x and y parameters for Expr.filter.CHILD - // remember that false/true cast respectively to 0/1 - match[ 4 ] = +( match[ 4 ] ? - match[ 5 ] + ( match[ 6 ] || 1 ) : - 2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) ); - match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" ); - - // other types prohibit arguments - } else if ( match[ 3 ] ) { - Sizzle.error( match[ 0 ] ); - } - - return match; - }, - - "PSEUDO": function( match ) { - var excess, - unquoted = !match[ 6 ] && match[ 2 ]; - - if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) { - return null; - } - - // Accept quoted arguments as-is - if ( match[ 3 ] ) { - match[ 2 ] = match[ 4 ] || match[ 5 ] || ""; - - // Strip excess characters from unquoted arguments - } else if ( unquoted && rpseudo.test( unquoted ) && - - // Get excess from tokenize (recursively) - ( excess = tokenize( unquoted, true ) ) && - - // advance to the next closing parenthesis - ( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) { - - // excess is a negative index - match[ 0 ] = match[ 0 ].slice( 0, excess ); - match[ 2 ] = unquoted.slice( 0, excess ); - } - - // Return only captures needed by the pseudo filter method (type and argument) - return match.slice( 0, 3 ); - } - }, - - filter: { - - "TAG": function( nodeNameSelector ) { - var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase(); - return nodeNameSelector === "*" ? - function() { - return true; - } : - function( elem ) { - return elem.nodeName && elem.nodeName.toLowerCase() === nodeName; - }; - }, - - "CLASS": function( className ) { - var pattern = classCache[ className + " " ]; - - return pattern || - ( pattern = new RegExp( "(^|" + whitespace + - ")" + className + "(" + whitespace + "|$)" ) ) && classCache( - className, function( elem ) { - return pattern.test( - typeof elem.className === "string" && elem.className || - typeof elem.getAttribute !== "undefined" && - elem.getAttribute( "class" ) || - "" - ); - } ); - }, - - "ATTR": function( name, operator, check ) { - return function( elem ) { - var result = Sizzle.attr( elem, name ); - - if ( result == null ) { - return operator === "!="; - } - if ( !operator ) { - return true; - } - - result += ""; - - /* eslint-disable max-len */ - - return operator === "=" ? result === check : - operator === "!=" ? result !== check : - operator === "^=" ? check && result.indexOf( check ) === 0 : - operator === "*=" ? check && result.indexOf( check ) > -1 : - operator === "$=" ? check && result.slice( -check.length ) === check : - operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 : - operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" : - false; - /* eslint-enable max-len */ - - }; - }, - - "CHILD": function( type, what, _argument, first, last ) { - var simple = type.slice( 0, 3 ) !== "nth", - forward = type.slice( -4 ) !== "last", - ofType = what === "of-type"; - - return first === 1 && last === 0 ? - - // Shortcut for :nth-*(n) - function( elem ) { - return !!elem.parentNode; - } : - - function( elem, _context, xml ) { - var cache, uniqueCache, outerCache, node, nodeIndex, start, - dir = simple !== forward ? "nextSibling" : "previousSibling", - parent = elem.parentNode, - name = ofType && elem.nodeName.toLowerCase(), - useCache = !xml && !ofType, - diff = false; - - if ( parent ) { - - // :(first|last|only)-(child|of-type) - if ( simple ) { - while ( dir ) { - node = elem; - while ( ( node = node[ dir ] ) ) { - if ( ofType ? - node.nodeName.toLowerCase() === name : - node.nodeType === 1 ) { - - return false; - } - } - - // Reverse direction for :only-* (if we haven't yet done so) - start = dir = type === "only" && !start && "nextSibling"; - } - return true; - } - - start = [ forward ? parent.firstChild : parent.lastChild ]; - - // non-xml :nth-child(...) stores cache data on `parent` - if ( forward && useCache ) { - - // Seek `elem` from a previously-cached index - - // ...in a gzip-friendly way - node = parent; - outerCache = node[ expando ] || ( node[ expando ] = {} ); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - ( outerCache[ node.uniqueID ] = {} ); - - cache = uniqueCache[ type ] || []; - nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; - diff = nodeIndex && cache[ 2 ]; - node = nodeIndex && parent.childNodes[ nodeIndex ]; - - while ( ( node = ++nodeIndex && node && node[ dir ] || - - // Fallback to seeking `elem` from the start - ( diff = nodeIndex = 0 ) || start.pop() ) ) { - - // When found, cache indexes on `parent` and break - if ( node.nodeType === 1 && ++diff && node === elem ) { - uniqueCache[ type ] = [ dirruns, nodeIndex, diff ]; - break; - } - } - - } else { - - // Use previously-cached element index if available - if ( useCache ) { - - // ...in a gzip-friendly way - node = elem; - outerCache = node[ expando ] || ( node[ expando ] = {} ); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - ( outerCache[ node.uniqueID ] = {} ); - - cache = uniqueCache[ type ] || []; - nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; - diff = nodeIndex; - } - - // xml :nth-child(...) - // or :nth-last-child(...) or :nth(-last)?-of-type(...) - if ( diff === false ) { - - // Use the same loop as above to seek `elem` from the start - while ( ( node = ++nodeIndex && node && node[ dir ] || - ( diff = nodeIndex = 0 ) || start.pop() ) ) { - - if ( ( ofType ? - node.nodeName.toLowerCase() === name : - node.nodeType === 1 ) && - ++diff ) { - - // Cache the index of each encountered element - if ( useCache ) { - outerCache = node[ expando ] || - ( node[ expando ] = {} ); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - ( outerCache[ node.uniqueID ] = {} ); - - uniqueCache[ type ] = [ dirruns, diff ]; - } - - if ( node === elem ) { - break; - } - } - } - } - } - - // Incorporate the offset, then check against cycle size - diff -= last; - return diff === first || ( diff % first === 0 && diff / first >= 0 ); - } - }; - }, - - "PSEUDO": function( pseudo, argument ) { - - // pseudo-class names are case-insensitive - // http://www.w3.org/TR/selectors/#pseudo-classes - // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters - // Remember that setFilters inherits from pseudos - var args, - fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] || - Sizzle.error( "unsupported pseudo: " + pseudo ); - - // The user may use createPseudo to indicate that - // arguments are needed to create the filter function - // just as Sizzle does - if ( fn[ expando ] ) { - return fn( argument ); - } - - // But maintain support for old signatures - if ( fn.length > 1 ) { - args = [ pseudo, pseudo, "", argument ]; - return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ? - markFunction( function( seed, matches ) { - var idx, - matched = fn( seed, argument ), - i = matched.length; - while ( i-- ) { - idx = indexOf( seed, matched[ i ] ); - seed[ idx ] = !( matches[ idx ] = matched[ i ] ); - } - } ) : - function( elem ) { - return fn( elem, 0, args ); - }; - } - - return fn; - } - }, - - pseudos: { - - // Potentially complex pseudos - "not": markFunction( function( selector ) { - - // Trim the selector passed to compile - // to avoid treating leading and trailing - // spaces as combinators - var input = [], - results = [], - matcher = compile( selector.replace( rtrim, "$1" ) ); - - return matcher[ expando ] ? - markFunction( function( seed, matches, _context, xml ) { - var elem, - unmatched = matcher( seed, null, xml, [] ), - i = seed.length; - - // Match elements unmatched by `matcher` - while ( i-- ) { - if ( ( elem = unmatched[ i ] ) ) { - seed[ i ] = !( matches[ i ] = elem ); - } - } - } ) : - function( elem, _context, xml ) { - input[ 0 ] = elem; - matcher( input, null, xml, results ); - - // Don't keep the element (issue #299) - input[ 0 ] = null; - return !results.pop(); - }; - } ), - - "has": markFunction( function( selector ) { - return function( elem ) { - return Sizzle( selector, elem ).length > 0; - }; - } ), - - "contains": markFunction( function( text ) { - text = text.replace( runescape, funescape ); - return function( elem ) { - return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1; - }; - } ), - - // "Whether an element is represented by a :lang() selector - // is based solely on the element's language value - // being equal to the identifier C, - // or beginning with the identifier C immediately followed by "-". - // The matching of C against the element's language value is performed case-insensitively. - // The identifier C does not have to be a valid language name." - // http://www.w3.org/TR/selectors/#lang-pseudo - "lang": markFunction( function( lang ) { - - // lang value must be a valid identifier - if ( !ridentifier.test( lang || "" ) ) { - Sizzle.error( "unsupported lang: " + lang ); - } - lang = lang.replace( runescape, funescape ).toLowerCase(); - return function( elem ) { - var elemLang; - do { - if ( ( elemLang = documentIsHTML ? - elem.lang : - elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) { - - elemLang = elemLang.toLowerCase(); - return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0; - } - } while ( ( elem = elem.parentNode ) && elem.nodeType === 1 ); - return false; - }; - } ), - - // Miscellaneous - "target": function( elem ) { - var hash = window.location && window.location.hash; - return hash && hash.slice( 1 ) === elem.id; - }, - - "root": function( elem ) { - return elem === docElem; - }, - - "focus": function( elem ) { - return elem === document.activeElement && - ( !document.hasFocus || document.hasFocus() ) && - !!( elem.type || elem.href || ~elem.tabIndex ); - }, - - // Boolean properties - "enabled": createDisabledPseudo( false ), - "disabled": createDisabledPseudo( true ), - - "checked": function( elem ) { - - // In CSS3, :checked should return both checked and selected elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - var nodeName = elem.nodeName.toLowerCase(); - return ( nodeName === "input" && !!elem.checked ) || - ( nodeName === "option" && !!elem.selected ); - }, - - "selected": function( elem ) { - - // Accessing this property makes selected-by-default - // options in Safari work properly - if ( elem.parentNode ) { - // eslint-disable-next-line no-unused-expressions - elem.parentNode.selectedIndex; - } - - return elem.selected === true; - }, - - // Contents - "empty": function( elem ) { - - // http://www.w3.org/TR/selectors/#empty-pseudo - // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5), - // but not by others (comment: 8; processing instruction: 7; etc.) - // nodeType < 6 works because attributes (2) do not appear as children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - if ( elem.nodeType < 6 ) { - return false; - } - } - return true; - }, - - "parent": function( elem ) { - return !Expr.pseudos[ "empty" ]( elem ); - }, - - // Element/input types - "header": function( elem ) { - return rheader.test( elem.nodeName ); - }, - - "input": function( elem ) { - return rinputs.test( elem.nodeName ); - }, - - "button": function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === "button" || name === "button"; - }, - - "text": function( elem ) { - var attr; - return elem.nodeName.toLowerCase() === "input" && - elem.type === "text" && - - // Support: IE<8 - // New HTML5 attribute values (e.g., "search") appear with elem.type === "text" - ( ( attr = elem.getAttribute( "type" ) ) == null || - attr.toLowerCase() === "text" ); - }, - - // Position-in-collection - "first": createPositionalPseudo( function() { - return [ 0 ]; - } ), - - "last": createPositionalPseudo( function( _matchIndexes, length ) { - return [ length - 1 ]; - } ), - - "eq": createPositionalPseudo( function( _matchIndexes, length, argument ) { - return [ argument < 0 ? argument + length : argument ]; - } ), - - "even": createPositionalPseudo( function( matchIndexes, length ) { - var i = 0; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - } ), - - "odd": createPositionalPseudo( function( matchIndexes, length ) { - var i = 1; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - } ), - - "lt": createPositionalPseudo( function( matchIndexes, length, argument ) { - var i = argument < 0 ? - argument + length : - argument > length ? - length : - argument; - for ( ; --i >= 0; ) { - matchIndexes.push( i ); - } - return matchIndexes; - } ), - - "gt": createPositionalPseudo( function( matchIndexes, length, argument ) { - var i = argument < 0 ? argument + length : argument; - for ( ; ++i < length; ) { - matchIndexes.push( i ); - } - return matchIndexes; - } ) - } -}; - -Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ]; - -// Add button/input type pseudos -for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) { - Expr.pseudos[ i ] = createInputPseudo( i ); -} -for ( i in { submit: true, reset: true } ) { - Expr.pseudos[ i ] = createButtonPseudo( i ); -} - -// Easy API for creating new setFilters -function setFilters() {} -setFilters.prototype = Expr.filters = Expr.pseudos; -Expr.setFilters = new setFilters(); - -tokenize = Sizzle.tokenize = function( selector, parseOnly ) { - var matched, match, tokens, type, - soFar, groups, preFilters, - cached = tokenCache[ selector + " " ]; - - if ( cached ) { - return parseOnly ? 0 : cached.slice( 0 ); - } - - soFar = selector; - groups = []; - preFilters = Expr.preFilter; - - while ( soFar ) { - - // Comma and first run - if ( !matched || ( match = rcomma.exec( soFar ) ) ) { - if ( match ) { - - // Don't consume trailing commas as valid - soFar = soFar.slice( match[ 0 ].length ) || soFar; - } - groups.push( ( tokens = [] ) ); - } - - matched = false; - - // Combinators - if ( ( match = rcombinators.exec( soFar ) ) ) { - matched = match.shift(); - tokens.push( { - value: matched, - - // Cast descendant combinators to space - type: match[ 0 ].replace( rtrim, " " ) - } ); - soFar = soFar.slice( matched.length ); - } - - // Filters - for ( type in Expr.filter ) { - if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] || - ( match = preFilters[ type ]( match ) ) ) ) { - matched = match.shift(); - tokens.push( { - value: matched, - type: type, - matches: match - } ); - soFar = soFar.slice( matched.length ); - } - } - - if ( !matched ) { - break; - } - } - - // Return the length of the invalid excess - // if we're just parsing - // Otherwise, throw an error or return tokens - return parseOnly ? - soFar.length : - soFar ? - Sizzle.error( selector ) : - - // Cache the tokens - tokenCache( selector, groups ).slice( 0 ); -}; - -function toSelector( tokens ) { - var i = 0, - len = tokens.length, - selector = ""; - for ( ; i < len; i++ ) { - selector += tokens[ i ].value; - } - return selector; -} - -function addCombinator( matcher, combinator, base ) { - var dir = combinator.dir, - skip = combinator.next, - key = skip || dir, - checkNonElements = base && key === "parentNode", - doneName = done++; - - return combinator.first ? - - // Check against closest ancestor/preceding element - function( elem, context, xml ) { - while ( ( elem = elem[ dir ] ) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - return matcher( elem, context, xml ); - } - } - return false; - } : - - // Check against all ancestor/preceding elements - function( elem, context, xml ) { - var oldCache, uniqueCache, outerCache, - newCache = [ dirruns, doneName ]; - - // We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching - if ( xml ) { - while ( ( elem = elem[ dir ] ) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - if ( matcher( elem, context, xml ) ) { - return true; - } - } - } - } else { - while ( ( elem = elem[ dir ] ) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - outerCache = elem[ expando ] || ( elem[ expando ] = {} ); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ elem.uniqueID ] || - ( outerCache[ elem.uniqueID ] = {} ); - - if ( skip && skip === elem.nodeName.toLowerCase() ) { - elem = elem[ dir ] || elem; - } else if ( ( oldCache = uniqueCache[ key ] ) && - oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) { - - // Assign to newCache so results back-propagate to previous elements - return ( newCache[ 2 ] = oldCache[ 2 ] ); - } else { - - // Reuse newcache so results back-propagate to previous elements - uniqueCache[ key ] = newCache; - - // A match means we're done; a fail means we have to keep checking - if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) { - return true; - } - } - } - } - } - return false; - }; -} - -function elementMatcher( matchers ) { - return matchers.length > 1 ? - function( elem, context, xml ) { - var i = matchers.length; - while ( i-- ) { - if ( !matchers[ i ]( elem, context, xml ) ) { - return false; - } - } - return true; - } : - matchers[ 0 ]; -} - -function multipleContexts( selector, contexts, results ) { - var i = 0, - len = contexts.length; - for ( ; i < len; i++ ) { - Sizzle( selector, contexts[ i ], results ); - } - return results; -} - -function condense( unmatched, map, filter, context, xml ) { - var elem, - newUnmatched = [], - i = 0, - len = unmatched.length, - mapped = map != null; - - for ( ; i < len; i++ ) { - if ( ( elem = unmatched[ i ] ) ) { - if ( !filter || filter( elem, context, xml ) ) { - newUnmatched.push( elem ); - if ( mapped ) { - map.push( i ); - } - } - } - } - - return newUnmatched; -} - -function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) { - if ( postFilter && !postFilter[ expando ] ) { - postFilter = setMatcher( postFilter ); - } - if ( postFinder && !postFinder[ expando ] ) { - postFinder = setMatcher( postFinder, postSelector ); - } - return markFunction( function( seed, results, context, xml ) { - var temp, i, elem, - preMap = [], - postMap = [], - preexisting = results.length, - - // Get initial elements from seed or context - elems = seed || multipleContexts( - selector || "*", - context.nodeType ? [ context ] : context, - [] - ), - - // Prefilter to get matcher input, preserving a map for seed-results synchronization - matcherIn = preFilter && ( seed || !selector ) ? - condense( elems, preMap, preFilter, context, xml ) : - elems, - - matcherOut = matcher ? - - // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results, - postFinder || ( seed ? preFilter : preexisting || postFilter ) ? - - // ...intermediate processing is necessary - [] : - - // ...otherwise use results directly - results : - matcherIn; - - // Find primary matches - if ( matcher ) { - matcher( matcherIn, matcherOut, context, xml ); - } - - // Apply postFilter - if ( postFilter ) { - temp = condense( matcherOut, postMap ); - postFilter( temp, [], context, xml ); - - // Un-match failing elements by moving them back to matcherIn - i = temp.length; - while ( i-- ) { - if ( ( elem = temp[ i ] ) ) { - matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem ); - } - } - } - - if ( seed ) { - if ( postFinder || preFilter ) { - if ( postFinder ) { - - // Get the final matcherOut by condensing this intermediate into postFinder contexts - temp = []; - i = matcherOut.length; - while ( i-- ) { - if ( ( elem = matcherOut[ i ] ) ) { - - // Restore matcherIn since elem is not yet a final match - temp.push( ( matcherIn[ i ] = elem ) ); - } - } - postFinder( null, ( matcherOut = [] ), temp, xml ); - } - - // Move matched elements from seed to results to keep them synchronized - i = matcherOut.length; - while ( i-- ) { - if ( ( elem = matcherOut[ i ] ) && - ( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) { - - seed[ temp ] = !( results[ temp ] = elem ); - } - } - } - - // Add elements to results, through postFinder if defined - } else { - matcherOut = condense( - matcherOut === results ? - matcherOut.splice( preexisting, matcherOut.length ) : - matcherOut - ); - if ( postFinder ) { - postFinder( null, results, matcherOut, xml ); - } else { - push.apply( results, matcherOut ); - } - } - } ); -} - -function matcherFromTokens( tokens ) { - var checkContext, matcher, j, - len = tokens.length, - leadingRelative = Expr.relative[ tokens[ 0 ].type ], - implicitRelative = leadingRelative || Expr.relative[ " " ], - i = leadingRelative ? 1 : 0, - - // The foundational matcher ensures that elements are reachable from top-level context(s) - matchContext = addCombinator( function( elem ) { - return elem === checkContext; - }, implicitRelative, true ), - matchAnyContext = addCombinator( function( elem ) { - return indexOf( checkContext, elem ) > -1; - }, implicitRelative, true ), - matchers = [ function( elem, context, xml ) { - var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || ( - ( checkContext = context ).nodeType ? - matchContext( elem, context, xml ) : - matchAnyContext( elem, context, xml ) ); - - // Avoid hanging onto element (issue #299) - checkContext = null; - return ret; - } ]; - - for ( ; i < len; i++ ) { - if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) { - matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ]; - } else { - matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches ); - - // Return special upon seeing a positional matcher - if ( matcher[ expando ] ) { - - // Find the next relative operator (if any) for proper handling - j = ++i; - for ( ; j < len; j++ ) { - if ( Expr.relative[ tokens[ j ].type ] ) { - break; - } - } - return setMatcher( - i > 1 && elementMatcher( matchers ), - i > 1 && toSelector( - - // If the preceding token was a descendant combinator, insert an implicit any-element `*` - tokens - .slice( 0, i - 1 ) - .concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } ) - ).replace( rtrim, "$1" ), - matcher, - i < j && matcherFromTokens( tokens.slice( i, j ) ), - j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ), - j < len && toSelector( tokens ) - ); - } - matchers.push( matcher ); - } - } - - return elementMatcher( matchers ); -} - -function matcherFromGroupMatchers( elementMatchers, setMatchers ) { - var bySet = setMatchers.length > 0, - byElement = elementMatchers.length > 0, - superMatcher = function( seed, context, xml, results, outermost ) { - var elem, j, matcher, - matchedCount = 0, - i = "0", - unmatched = seed && [], - setMatched = [], - contextBackup = outermostContext, - - // We must always have either seed elements or outermost context - elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ), - - // Use integer dirruns iff this is the outermost matcher - dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ), - len = elems.length; - - if ( outermost ) { - - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - outermostContext = context == document || context || outermost; - } - - // Add elements passing elementMatchers directly to results - // Support: IE<9, Safari - // Tolerate NodeList properties (IE: "length"; Safari: ) matching elements by id - for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) { - if ( byElement && elem ) { - j = 0; - - // Support: IE 11+, Edge 17 - 18+ - // IE/Edge sometimes throw a "Permission denied" error when strict-comparing - // two documents; shallow comparisons work. - // eslint-disable-next-line eqeqeq - if ( !context && elem.ownerDocument != document ) { - setDocument( elem ); - xml = !documentIsHTML; - } - while ( ( matcher = elementMatchers[ j++ ] ) ) { - if ( matcher( elem, context || document, xml ) ) { - results.push( elem ); - break; - } - } - if ( outermost ) { - dirruns = dirrunsUnique; - } - } - - // Track unmatched elements for set filters - if ( bySet ) { - - // They will have gone through all possible matchers - if ( ( elem = !matcher && elem ) ) { - matchedCount--; - } - - // Lengthen the array for every element, matched or not - if ( seed ) { - unmatched.push( elem ); - } - } - } - - // `i` is now the count of elements visited above, and adding it to `matchedCount` - // makes the latter nonnegative. - matchedCount += i; - - // Apply set filters to unmatched elements - // NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount` - // equals `i`), unless we didn't visit _any_ elements in the above loop because we have - // no element matchers and no seed. - // Incrementing an initially-string "0" `i` allows `i` to remain a string only in that - // case, which will result in a "00" `matchedCount` that differs from `i` but is also - // numerically zero. - if ( bySet && i !== matchedCount ) { - j = 0; - while ( ( matcher = setMatchers[ j++ ] ) ) { - matcher( unmatched, setMatched, context, xml ); - } - - if ( seed ) { - - // Reintegrate element matches to eliminate the need for sorting - if ( matchedCount > 0 ) { - while ( i-- ) { - if ( !( unmatched[ i ] || setMatched[ i ] ) ) { - setMatched[ i ] = pop.call( results ); - } - } - } - - // Discard index placeholder values to get only actual matches - setMatched = condense( setMatched ); - } - - // Add matches to results - push.apply( results, setMatched ); - - // Seedless set matches succeeding multiple successful matchers stipulate sorting - if ( outermost && !seed && setMatched.length > 0 && - ( matchedCount + setMatchers.length ) > 1 ) { - - Sizzle.uniqueSort( results ); - } - } - - // Override manipulation of globals by nested matchers - if ( outermost ) { - dirruns = dirrunsUnique; - outermostContext = contextBackup; - } - - return unmatched; - }; - - return bySet ? - markFunction( superMatcher ) : - superMatcher; -} - -compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) { - var i, - setMatchers = [], - elementMatchers = [], - cached = compilerCache[ selector + " " ]; - - if ( !cached ) { - - // Generate a function of recursive functions that can be used to check each element - if ( !match ) { - match = tokenize( selector ); - } - i = match.length; - while ( i-- ) { - cached = matcherFromTokens( match[ i ] ); - if ( cached[ expando ] ) { - setMatchers.push( cached ); - } else { - elementMatchers.push( cached ); - } - } - - // Cache the compiled function - cached = compilerCache( - selector, - matcherFromGroupMatchers( elementMatchers, setMatchers ) - ); - - // Save selector and tokenization - cached.selector = selector; - } - return cached; -}; - -/** - * A low-level selection function that works with Sizzle's compiled - * selector functions - * @param {String|Function} selector A selector or a pre-compiled - * selector function built with Sizzle.compile - * @param {Element} context - * @param {Array} [results] - * @param {Array} [seed] A set of elements to match against - */ -select = Sizzle.select = function( selector, context, results, seed ) { - var i, tokens, token, type, find, - compiled = typeof selector === "function" && selector, - match = !seed && tokenize( ( selector = compiled.selector || selector ) ); - - results = results || []; - - // Try to minimize operations if there is only one selector in the list and no seed - // (the latter of which guarantees us context) - if ( match.length === 1 ) { - - // Reduce context if the leading compound selector is an ID - tokens = match[ 0 ] = match[ 0 ].slice( 0 ); - if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" && - context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) { - - context = ( Expr.find[ "ID" ]( token.matches[ 0 ] - .replace( runescape, funescape ), context ) || [] )[ 0 ]; - if ( !context ) { - return results; - - // Precompiled matchers will still verify ancestry, so step up a level - } else if ( compiled ) { - context = context.parentNode; - } - - selector = selector.slice( tokens.shift().value.length ); - } - - // Fetch a seed set for right-to-left matching - i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length; - while ( i-- ) { - token = tokens[ i ]; - - // Abort if we hit a combinator - if ( Expr.relative[ ( type = token.type ) ] ) { - break; - } - if ( ( find = Expr.find[ type ] ) ) { - - // Search, expanding context for leading sibling combinators - if ( ( seed = find( - token.matches[ 0 ].replace( runescape, funescape ), - rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) || - context - ) ) ) { - - // If seed is empty or no tokens remain, we can return early - tokens.splice( i, 1 ); - selector = seed.length && toSelector( tokens ); - if ( !selector ) { - push.apply( results, seed ); - return results; - } - - break; - } - } - } - } - - // Compile and execute a filtering function if one is not provided - // Provide `match` to avoid retokenization if we modified the selector above - ( compiled || compile( selector, match ) )( - seed, - context, - !documentIsHTML, - results, - !context || rsibling.test( selector ) && testContext( context.parentNode ) || context - ); - return results; -}; - -// One-time assignments - -// Sort stability -support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando; - -// Support: Chrome 14-35+ -// Always assume duplicates if they aren't passed to the comparison function -support.detectDuplicates = !!hasDuplicate; - -// Initialize against the default document -setDocument(); - -// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27) -// Detached nodes confoundingly follow *each other* -support.sortDetached = assert( function( el ) { - - // Should return 1, but returns 4 (following) - return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1; -} ); - -// Support: IE<8 -// Prevent attribute/property "interpolation" -// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx -if ( !assert( function( el ) { - el.innerHTML = ""; - return el.firstChild.getAttribute( "href" ) === "#"; -} ) ) { - addHandle( "type|href|height|width", function( elem, name, isXML ) { - if ( !isXML ) { - return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 ); - } - } ); -} - -// Support: IE<9 -// Use defaultValue in place of getAttribute("value") -if ( !support.attributes || !assert( function( el ) { - el.innerHTML = ""; - el.firstChild.setAttribute( "value", "" ); - return el.firstChild.getAttribute( "value" ) === ""; -} ) ) { - addHandle( "value", function( elem, _name, isXML ) { - if ( !isXML && elem.nodeName.toLowerCase() === "input" ) { - return elem.defaultValue; - } - } ); -} - -// Support: IE<9 -// Use getAttributeNode to fetch booleans when getAttribute lies -if ( !assert( function( el ) { - return el.getAttribute( "disabled" ) == null; -} ) ) { - addHandle( booleans, function( elem, name, isXML ) { - var val; - if ( !isXML ) { - return elem[ name ] === true ? name.toLowerCase() : - ( val = elem.getAttributeNode( name ) ) && val.specified ? - val.value : - null; - } - } ); -} - -return Sizzle; - -} )( window ); - - - -jQuery.find = Sizzle; -jQuery.expr = Sizzle.selectors; - -// Deprecated -jQuery.expr[ ":" ] = jQuery.expr.pseudos; -jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort; -jQuery.text = Sizzle.getText; -jQuery.isXMLDoc = Sizzle.isXML; -jQuery.contains = Sizzle.contains; -jQuery.escapeSelector = Sizzle.escape; - - - - -var dir = function( elem, dir, until ) { - var matched = [], - truncate = until !== undefined; - - while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) { - if ( elem.nodeType === 1 ) { - if ( truncate && jQuery( elem ).is( until ) ) { - break; - } - matched.push( elem ); - } - } - return matched; -}; - - -var siblings = function( n, elem ) { - var matched = []; - - for ( ; n; n = n.nextSibling ) { - if ( n.nodeType === 1 && n !== elem ) { - matched.push( n ); - } - } - - return matched; -}; - - -var rneedsContext = jQuery.expr.match.needsContext; - - - -function nodeName( elem, name ) { - - return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase(); - -} -var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i ); - - - -// Implement the identical functionality for filter and not -function winnow( elements, qualifier, not ) { - if ( isFunction( qualifier ) ) { - return jQuery.grep( elements, function( elem, i ) { - return !!qualifier.call( elem, i, elem ) !== not; - } ); - } - - // Single element - if ( qualifier.nodeType ) { - return jQuery.grep( elements, function( elem ) { - return ( elem === qualifier ) !== not; - } ); - } - - // Arraylike of elements (jQuery, arguments, Array) - if ( typeof qualifier !== "string" ) { - return jQuery.grep( elements, function( elem ) { - return ( indexOf.call( qualifier, elem ) > -1 ) !== not; - } ); - } - - // Filtered directly for both simple and complex selectors - return jQuery.filter( qualifier, elements, not ); -} - -jQuery.filter = function( expr, elems, not ) { - var elem = elems[ 0 ]; - - if ( not ) { - expr = ":not(" + expr + ")"; - } - - if ( elems.length === 1 && elem.nodeType === 1 ) { - return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : []; - } - - return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) { - return elem.nodeType === 1; - } ) ); -}; - -jQuery.fn.extend( { - find: function( selector ) { - var i, ret, - len = this.length, - self = this; - - if ( typeof selector !== "string" ) { - return this.pushStack( jQuery( selector ).filter( function() { - for ( i = 0; i < len; i++ ) { - if ( jQuery.contains( self[ i ], this ) ) { - return true; - } - } - } ) ); - } - - ret = this.pushStack( [] ); - - for ( i = 0; i < len; i++ ) { - jQuery.find( selector, self[ i ], ret ); - } - - return len > 1 ? jQuery.uniqueSort( ret ) : ret; - }, - filter: function( selector ) { - return this.pushStack( winnow( this, selector || [], false ) ); - }, - not: function( selector ) { - return this.pushStack( winnow( this, selector || [], true ) ); - }, - is: function( selector ) { - return !!winnow( - this, - - // If this is a positional/relative selector, check membership in the returned set - // so $("p:first").is("p:last") won't return true for a doc with two "p". - typeof selector === "string" && rneedsContext.test( selector ) ? - jQuery( selector ) : - selector || [], - false - ).length; - } -} ); - - -// Initialize a jQuery object - - -// A central reference to the root jQuery(document) -var rootjQuery, - - // A simple way to check for HTML strings - // Prioritize #id over to avoid XSS via location.hash (#9521) - // Strict HTML recognition (#11290: must start with <) - // Shortcut simple #id case for speed - rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/, - - init = jQuery.fn.init = function( selector, context, root ) { - var match, elem; - - // HANDLE: $(""), $(null), $(undefined), $(false) - if ( !selector ) { - return this; - } - - // Method init() accepts an alternate rootjQuery - // so migrate can support jQuery.sub (gh-2101) - root = root || rootjQuery; - - // Handle HTML strings - if ( typeof selector === "string" ) { - if ( selector[ 0 ] === "<" && - selector[ selector.length - 1 ] === ">" && - selector.length >= 3 ) { - - // Assume that strings that start and end with <> are HTML and skip the regex check - match = [ null, selector, null ]; - - } else { - match = rquickExpr.exec( selector ); - } - - // Match html or make sure no context is specified for #id - if ( match && ( match[ 1 ] || !context ) ) { - - // HANDLE: $(html) -> $(array) - if ( match[ 1 ] ) { - context = context instanceof jQuery ? context[ 0 ] : context; - - // Option to run scripts is true for back-compat - // Intentionally let the error be thrown if parseHTML is not present - jQuery.merge( this, jQuery.parseHTML( - match[ 1 ], - context && context.nodeType ? context.ownerDocument || context : document, - true - ) ); - - // HANDLE: $(html, props) - if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) { - for ( match in context ) { - - // Properties of context are called as methods if possible - if ( isFunction( this[ match ] ) ) { - this[ match ]( context[ match ] ); - - // ...and otherwise set as attributes - } else { - this.attr( match, context[ match ] ); - } - } - } - - return this; - - // HANDLE: $(#id) - } else { - elem = document.getElementById( match[ 2 ] ); - - if ( elem ) { - - // Inject the element directly into the jQuery object - this[ 0 ] = elem; - this.length = 1; - } - return this; - } - - // HANDLE: $(expr, $(...)) - } else if ( !context || context.jquery ) { - return ( context || root ).find( selector ); - - // HANDLE: $(expr, context) - // (which is just equivalent to: $(context).find(expr) - } else { - return this.constructor( context ).find( selector ); - } - - // HANDLE: $(DOMElement) - } else if ( selector.nodeType ) { - this[ 0 ] = selector; - this.length = 1; - return this; - - // HANDLE: $(function) - // Shortcut for document ready - } else if ( isFunction( selector ) ) { - return root.ready !== undefined ? - root.ready( selector ) : - - // Execute immediately if ready is not present - selector( jQuery ); - } - - return jQuery.makeArray( selector, this ); - }; - -// Give the init function the jQuery prototype for later instantiation -init.prototype = jQuery.fn; - -// Initialize central reference -rootjQuery = jQuery( document ); - - -var rparentsprev = /^(?:parents|prev(?:Until|All))/, - - // Methods guaranteed to produce a unique set when starting from a unique set - guaranteedUnique = { - children: true, - contents: true, - next: true, - prev: true - }; - -jQuery.fn.extend( { - has: function( target ) { - var targets = jQuery( target, this ), - l = targets.length; - - return this.filter( function() { - var i = 0; - for ( ; i < l; i++ ) { - if ( jQuery.contains( this, targets[ i ] ) ) { - return true; - } - } - } ); - }, - - closest: function( selectors, context ) { - var cur, - i = 0, - l = this.length, - matched = [], - targets = typeof selectors !== "string" && jQuery( selectors ); - - // Positional selectors never match, since there's no _selection_ context - if ( !rneedsContext.test( selectors ) ) { - for ( ; i < l; i++ ) { - for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) { - - // Always skip document fragments - if ( cur.nodeType < 11 && ( targets ? - targets.index( cur ) > -1 : - - // Don't pass non-elements to Sizzle - cur.nodeType === 1 && - jQuery.find.matchesSelector( cur, selectors ) ) ) { - - matched.push( cur ); - break; - } - } - } - } - - return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched ); - }, - - // Determine the position of an element within the set - index: function( elem ) { - - // No argument, return index in parent - if ( !elem ) { - return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1; - } - - // Index in selector - if ( typeof elem === "string" ) { - return indexOf.call( jQuery( elem ), this[ 0 ] ); - } - - // Locate the position of the desired element - return indexOf.call( this, - - // If it receives a jQuery object, the first element is used - elem.jquery ? elem[ 0 ] : elem - ); - }, - - add: function( selector, context ) { - return this.pushStack( - jQuery.uniqueSort( - jQuery.merge( this.get(), jQuery( selector, context ) ) - ) - ); - }, - - addBack: function( selector ) { - return this.add( selector == null ? - this.prevObject : this.prevObject.filter( selector ) - ); - } -} ); - -function sibling( cur, dir ) { - while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {} - return cur; -} - -jQuery.each( { - parent: function( elem ) { - var parent = elem.parentNode; - return parent && parent.nodeType !== 11 ? parent : null; - }, - parents: function( elem ) { - return dir( elem, "parentNode" ); - }, - parentsUntil: function( elem, _i, until ) { - return dir( elem, "parentNode", until ); - }, - next: function( elem ) { - return sibling( elem, "nextSibling" ); - }, - prev: function( elem ) { - return sibling( elem, "previousSibling" ); - }, - nextAll: function( elem ) { - return dir( elem, "nextSibling" ); - }, - prevAll: function( elem ) { - return dir( elem, "previousSibling" ); - }, - nextUntil: function( elem, _i, until ) { - return dir( elem, "nextSibling", until ); - }, - prevUntil: function( elem, _i, until ) { - return dir( elem, "previousSibling", until ); - }, - siblings: function( elem ) { - return siblings( ( elem.parentNode || {} ).firstChild, elem ); - }, - children: function( elem ) { - return siblings( elem.firstChild ); - }, - contents: function( elem ) { - if ( elem.contentDocument != null && - - // Support: IE 11+ - // elements with no `data` attribute has an object - // `contentDocument` with a `null` prototype. - getProto( elem.contentDocument ) ) { - - return elem.contentDocument; - } - - // Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only - // Treat the template element as a regular one in browsers that - // don't support it. - if ( nodeName( elem, "template" ) ) { - elem = elem.content || elem; - } - - return jQuery.merge( [], elem.childNodes ); - } -}, function( name, fn ) { - jQuery.fn[ name ] = function( until, selector ) { - var matched = jQuery.map( this, fn, until ); - - if ( name.slice( -5 ) !== "Until" ) { - selector = until; - } - - if ( selector && typeof selector === "string" ) { - matched = jQuery.filter( selector, matched ); - } - - if ( this.length > 1 ) { - - // Remove duplicates - if ( !guaranteedUnique[ name ] ) { - jQuery.uniqueSort( matched ); - } - - // Reverse order for parents* and prev-derivatives - if ( rparentsprev.test( name ) ) { - matched.reverse(); - } - } - - return this.pushStack( matched ); - }; -} ); -var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g ); - - - -// Convert String-formatted options into Object-formatted ones -function createOptions( options ) { - var object = {}; - jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) { - object[ flag ] = true; - } ); - return object; -} - -/* - * Create a callback list using the following parameters: - * - * options: an optional list of space-separated options that will change how - * the callback list behaves or a more traditional option object - * - * By default a callback list will act like an event callback list and can be - * "fired" multiple times. - * - * Possible options: - * - * once: will ensure the callback list can only be fired once (like a Deferred) - * - * memory: will keep track of previous values and will call any callback added - * after the list has been fired right away with the latest "memorized" - * values (like a Deferred) - * - * unique: will ensure a callback can only be added once (no duplicate in the list) - * - * stopOnFalse: interrupt callings when a callback returns false - * - */ -jQuery.Callbacks = function( options ) { - - // Convert options from String-formatted to Object-formatted if needed - // (we check in cache first) - options = typeof options === "string" ? - createOptions( options ) : - jQuery.extend( {}, options ); - - var // Flag to know if list is currently firing - firing, - - // Last fire value for non-forgettable lists - memory, - - // Flag to know if list was already fired - fired, - - // Flag to prevent firing - locked, - - // Actual callback list - list = [], - - // Queue of execution data for repeatable lists - queue = [], - - // Index of currently firing callback (modified by add/remove as needed) - firingIndex = -1, - - // Fire callbacks - fire = function() { - - // Enforce single-firing - locked = locked || options.once; - - // Execute callbacks for all pending executions, - // respecting firingIndex overrides and runtime changes - fired = firing = true; - for ( ; queue.length; firingIndex = -1 ) { - memory = queue.shift(); - while ( ++firingIndex < list.length ) { - - // Run callback and check for early termination - if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false && - options.stopOnFalse ) { - - // Jump to end and forget the data so .add doesn't re-fire - firingIndex = list.length; - memory = false; - } - } - } - - // Forget the data if we're done with it - if ( !options.memory ) { - memory = false; - } - - firing = false; - - // Clean up if we're done firing for good - if ( locked ) { - - // Keep an empty list if we have data for future add calls - if ( memory ) { - list = []; - - // Otherwise, this object is spent - } else { - list = ""; - } - } - }, - - // Actual Callbacks object - self = { - - // Add a callback or a collection of callbacks to the list - add: function() { - if ( list ) { - - // If we have memory from a past run, we should fire after adding - if ( memory && !firing ) { - firingIndex = list.length - 1; - queue.push( memory ); - } - - ( function add( args ) { - jQuery.each( args, function( _, arg ) { - if ( isFunction( arg ) ) { - if ( !options.unique || !self.has( arg ) ) { - list.push( arg ); - } - } else if ( arg && arg.length && toType( arg ) !== "string" ) { - - // Inspect recursively - add( arg ); - } - } ); - } )( arguments ); - - if ( memory && !firing ) { - fire(); - } - } - return this; - }, - - // Remove a callback from the list - remove: function() { - jQuery.each( arguments, function( _, arg ) { - var index; - while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) { - list.splice( index, 1 ); - - // Handle firing indexes - if ( index <= firingIndex ) { - firingIndex--; - } - } - } ); - return this; - }, - - // Check if a given callback is in the list. - // If no argument is given, return whether or not list has callbacks attached. - has: function( fn ) { - return fn ? - jQuery.inArray( fn, list ) > -1 : - list.length > 0; - }, - - // Remove all callbacks from the list - empty: function() { - if ( list ) { - list = []; - } - return this; - }, - - // Disable .fire and .add - // Abort any current/pending executions - // Clear all callbacks and values - disable: function() { - locked = queue = []; - list = memory = ""; - return this; - }, - disabled: function() { - return !list; - }, - - // Disable .fire - // Also disable .add unless we have memory (since it would have no effect) - // Abort any pending executions - lock: function() { - locked = queue = []; - if ( !memory && !firing ) { - list = memory = ""; - } - return this; - }, - locked: function() { - return !!locked; - }, - - // Call all callbacks with the given context and arguments - fireWith: function( context, args ) { - if ( !locked ) { - args = args || []; - args = [ context, args.slice ? args.slice() : args ]; - queue.push( args ); - if ( !firing ) { - fire(); - } - } - return this; - }, - - // Call all the callbacks with the given arguments - fire: function() { - self.fireWith( this, arguments ); - return this; - }, - - // To know if the callbacks have already been called at least once - fired: function() { - return !!fired; - } - }; - - return self; -}; - - -function Identity( v ) { - return v; -} -function Thrower( ex ) { - throw ex; -} - -function adoptValue( value, resolve, reject, noValue ) { - var method; - - try { - - // Check for promise aspect first to privilege synchronous behavior - if ( value && isFunction( ( method = value.promise ) ) ) { - method.call( value ).done( resolve ).fail( reject ); - - // Other thenables - } else if ( value && isFunction( ( method = value.then ) ) ) { - method.call( value, resolve, reject ); - - // Other non-thenables - } else { - - // Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer: - // * false: [ value ].slice( 0 ) => resolve( value ) - // * true: [ value ].slice( 1 ) => resolve() - resolve.apply( undefined, [ value ].slice( noValue ) ); - } - - // For Promises/A+, convert exceptions into rejections - // Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in - // Deferred#then to conditionally suppress rejection. - } catch ( value ) { - - // Support: Android 4.0 only - // Strict mode functions invoked without .call/.apply get global-object context - reject.apply( undefined, [ value ] ); - } -} - -jQuery.extend( { - - Deferred: function( func ) { - var tuples = [ - - // action, add listener, callbacks, - // ... .then handlers, argument index, [final state] - [ "notify", "progress", jQuery.Callbacks( "memory" ), - jQuery.Callbacks( "memory" ), 2 ], - [ "resolve", "done", jQuery.Callbacks( "once memory" ), - jQuery.Callbacks( "once memory" ), 0, "resolved" ], - [ "reject", "fail", jQuery.Callbacks( "once memory" ), - jQuery.Callbacks( "once memory" ), 1, "rejected" ] - ], - state = "pending", - promise = { - state: function() { - return state; - }, - always: function() { - deferred.done( arguments ).fail( arguments ); - return this; - }, - "catch": function( fn ) { - return promise.then( null, fn ); - }, - - // Keep pipe for back-compat - pipe: function( /* fnDone, fnFail, fnProgress */ ) { - var fns = arguments; - - return jQuery.Deferred( function( newDefer ) { - jQuery.each( tuples, function( _i, tuple ) { - - // Map tuples (progress, done, fail) to arguments (done, fail, progress) - var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ]; - - // deferred.progress(function() { bind to newDefer or newDefer.notify }) - // deferred.done(function() { bind to newDefer or newDefer.resolve }) - // deferred.fail(function() { bind to newDefer or newDefer.reject }) - deferred[ tuple[ 1 ] ]( function() { - var returned = fn && fn.apply( this, arguments ); - if ( returned && isFunction( returned.promise ) ) { - returned.promise() - .progress( newDefer.notify ) - .done( newDefer.resolve ) - .fail( newDefer.reject ); - } else { - newDefer[ tuple[ 0 ] + "With" ]( - this, - fn ? [ returned ] : arguments - ); - } - } ); - } ); - fns = null; - } ).promise(); - }, - then: function( onFulfilled, onRejected, onProgress ) { - var maxDepth = 0; - function resolve( depth, deferred, handler, special ) { - return function() { - var that = this, - args = arguments, - mightThrow = function() { - var returned, then; - - // Support: Promises/A+ section 2.3.3.3.3 - // https://promisesaplus.com/#point-59 - // Ignore double-resolution attempts - if ( depth < maxDepth ) { - return; - } - - returned = handler.apply( that, args ); - - // Support: Promises/A+ section 2.3.1 - // https://promisesaplus.com/#point-48 - if ( returned === deferred.promise() ) { - throw new TypeError( "Thenable self-resolution" ); - } - - // Support: Promises/A+ sections 2.3.3.1, 3.5 - // https://promisesaplus.com/#point-54 - // https://promisesaplus.com/#point-75 - // Retrieve `then` only once - then = returned && - - // Support: Promises/A+ section 2.3.4 - // https://promisesaplus.com/#point-64 - // Only check objects and functions for thenability - ( typeof returned === "object" || - typeof returned === "function" ) && - returned.then; - - // Handle a returned thenable - if ( isFunction( then ) ) { - - // Special processors (notify) just wait for resolution - if ( special ) { - then.call( - returned, - resolve( maxDepth, deferred, Identity, special ), - resolve( maxDepth, deferred, Thrower, special ) - ); - - // Normal processors (resolve) also hook into progress - } else { - - // ...and disregard older resolution values - maxDepth++; - - then.call( - returned, - resolve( maxDepth, deferred, Identity, special ), - resolve( maxDepth, deferred, Thrower, special ), - resolve( maxDepth, deferred, Identity, - deferred.notifyWith ) - ); - } - - // Handle all other returned values - } else { - - // Only substitute handlers pass on context - // and multiple values (non-spec behavior) - if ( handler !== Identity ) { - that = undefined; - args = [ returned ]; - } - - // Process the value(s) - // Default process is resolve - ( special || deferred.resolveWith )( that, args ); - } - }, - - // Only normal processors (resolve) catch and reject exceptions - process = special ? - mightThrow : - function() { - try { - mightThrow(); - } catch ( e ) { - - if ( jQuery.Deferred.exceptionHook ) { - jQuery.Deferred.exceptionHook( e, - process.stackTrace ); - } - - // Support: Promises/A+ section 2.3.3.3.4.1 - // https://promisesaplus.com/#point-61 - // Ignore post-resolution exceptions - if ( depth + 1 >= maxDepth ) { - - // Only substitute handlers pass on context - // and multiple values (non-spec behavior) - if ( handler !== Thrower ) { - that = undefined; - args = [ e ]; - } - - deferred.rejectWith( that, args ); - } - } - }; - - // Support: Promises/A+ section 2.3.3.3.1 - // https://promisesaplus.com/#point-57 - // Re-resolve promises immediately to dodge false rejection from - // subsequent errors - if ( depth ) { - process(); - } else { - - // Call an optional hook to record the stack, in case of exception - // since it's otherwise lost when execution goes async - if ( jQuery.Deferred.getStackHook ) { - process.stackTrace = jQuery.Deferred.getStackHook(); - } - window.setTimeout( process ); - } - }; - } - - return jQuery.Deferred( function( newDefer ) { - - // progress_handlers.add( ... ) - tuples[ 0 ][ 3 ].add( - resolve( - 0, - newDefer, - isFunction( onProgress ) ? - onProgress : - Identity, - newDefer.notifyWith - ) - ); - - // fulfilled_handlers.add( ... ) - tuples[ 1 ][ 3 ].add( - resolve( - 0, - newDefer, - isFunction( onFulfilled ) ? - onFulfilled : - Identity - ) - ); - - // rejected_handlers.add( ... ) - tuples[ 2 ][ 3 ].add( - resolve( - 0, - newDefer, - isFunction( onRejected ) ? - onRejected : - Thrower - ) - ); - } ).promise(); - }, - - // Get a promise for this deferred - // If obj is provided, the promise aspect is added to the object - promise: function( obj ) { - return obj != null ? jQuery.extend( obj, promise ) : promise; - } - }, - deferred = {}; - - // Add list-specific methods - jQuery.each( tuples, function( i, tuple ) { - var list = tuple[ 2 ], - stateString = tuple[ 5 ]; - - // promise.progress = list.add - // promise.done = list.add - // promise.fail = list.add - promise[ tuple[ 1 ] ] = list.add; - - // Handle state - if ( stateString ) { - list.add( - function() { - - // state = "resolved" (i.e., fulfilled) - // state = "rejected" - state = stateString; - }, - - // rejected_callbacks.disable - // fulfilled_callbacks.disable - tuples[ 3 - i ][ 2 ].disable, - - // rejected_handlers.disable - // fulfilled_handlers.disable - tuples[ 3 - i ][ 3 ].disable, - - // progress_callbacks.lock - tuples[ 0 ][ 2 ].lock, - - // progress_handlers.lock - tuples[ 0 ][ 3 ].lock - ); - } - - // progress_handlers.fire - // fulfilled_handlers.fire - // rejected_handlers.fire - list.add( tuple[ 3 ].fire ); - - // deferred.notify = function() { deferred.notifyWith(...) } - // deferred.resolve = function() { deferred.resolveWith(...) } - // deferred.reject = function() { deferred.rejectWith(...) } - deferred[ tuple[ 0 ] ] = function() { - deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments ); - return this; - }; - - // deferred.notifyWith = list.fireWith - // deferred.resolveWith = list.fireWith - // deferred.rejectWith = list.fireWith - deferred[ tuple[ 0 ] + "With" ] = list.fireWith; - } ); - - // Make the deferred a promise - promise.promise( deferred ); - - // Call given func if any - if ( func ) { - func.call( deferred, deferred ); - } - - // All done! - return deferred; - }, - - // Deferred helper - when: function( singleValue ) { - var - - // count of uncompleted subordinates - remaining = arguments.length, - - // count of unprocessed arguments - i = remaining, - - // subordinate fulfillment data - resolveContexts = Array( i ), - resolveValues = slice.call( arguments ), - - // the primary Deferred - primary = jQuery.Deferred(), - - // subordinate callback factory - updateFunc = function( i ) { - return function( value ) { - resolveContexts[ i ] = this; - resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value; - if ( !( --remaining ) ) { - primary.resolveWith( resolveContexts, resolveValues ); - } - }; - }; - - // Single- and empty arguments are adopted like Promise.resolve - if ( remaining <= 1 ) { - adoptValue( singleValue, primary.done( updateFunc( i ) ).resolve, primary.reject, - !remaining ); - - // Use .then() to unwrap secondary thenables (cf. gh-3000) - if ( primary.state() === "pending" || - isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) { - - return primary.then(); - } - } - - // Multiple arguments are aggregated like Promise.all array elements - while ( i-- ) { - adoptValue( resolveValues[ i ], updateFunc( i ), primary.reject ); - } - - return primary.promise(); - } -} ); - - -// These usually indicate a programmer mistake during development, -// warn about them ASAP rather than swallowing them by default. -var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/; - -jQuery.Deferred.exceptionHook = function( error, stack ) { - - // Support: IE 8 - 9 only - // Console exists when dev tools are open, which can happen at any time - if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) { - window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack ); - } -}; - - - - -jQuery.readyException = function( error ) { - window.setTimeout( function() { - throw error; - } ); -}; - - - - -// The deferred used on DOM ready -var readyList = jQuery.Deferred(); - -jQuery.fn.ready = function( fn ) { - - readyList - .then( fn ) - - // Wrap jQuery.readyException in a function so that the lookup - // happens at the time of error handling instead of callback - // registration. - .catch( function( error ) { - jQuery.readyException( error ); - } ); - - return this; -}; - -jQuery.extend( { - - // Is the DOM ready to be used? Set to true once it occurs. - isReady: false, - - // A counter to track how many items to wait for before - // the ready event fires. See #6781 - readyWait: 1, - - // Handle when the DOM is ready - ready: function( wait ) { - - // Abort if there are pending holds or we're already ready - if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) { - return; - } - - // Remember that the DOM is ready - jQuery.isReady = true; - - // If a normal DOM Ready event fired, decrement, and wait if need be - if ( wait !== true && --jQuery.readyWait > 0 ) { - return; - } - - // If there are functions bound, to execute - readyList.resolveWith( document, [ jQuery ] ); - } -} ); - -jQuery.ready.then = readyList.then; - -// The ready event handler and self cleanup method -function completed() { - document.removeEventListener( "DOMContentLoaded", completed ); - window.removeEventListener( "load", completed ); - jQuery.ready(); -} - -// Catch cases where $(document).ready() is called -// after the browser event has already occurred. -// Support: IE <=9 - 10 only -// Older IE sometimes signals "interactive" too soon -if ( document.readyState === "complete" || - ( document.readyState !== "loading" && !document.documentElement.doScroll ) ) { - - // Handle it asynchronously to allow scripts the opportunity to delay ready - window.setTimeout( jQuery.ready ); - -} else { - - // Use the handy event callback - document.addEventListener( "DOMContentLoaded", completed ); - - // A fallback to window.onload, that will always work - window.addEventListener( "load", completed ); -} - - - - -// Multifunctional method to get and set values of a collection -// The value/s can optionally be executed if it's a function -var access = function( elems, fn, key, value, chainable, emptyGet, raw ) { - var i = 0, - len = elems.length, - bulk = key == null; - - // Sets many values - if ( toType( key ) === "object" ) { - chainable = true; - for ( i in key ) { - access( elems, fn, i, key[ i ], true, emptyGet, raw ); - } - - // Sets one value - } else if ( value !== undefined ) { - chainable = true; - - if ( !isFunction( value ) ) { - raw = true; - } - - if ( bulk ) { - - // Bulk operations run against the entire set - if ( raw ) { - fn.call( elems, value ); - fn = null; - - // ...except when executing function values - } else { - bulk = fn; - fn = function( elem, _key, value ) { - return bulk.call( jQuery( elem ), value ); - }; - } - } - - if ( fn ) { - for ( ; i < len; i++ ) { - fn( - elems[ i ], key, raw ? - value : - value.call( elems[ i ], i, fn( elems[ i ], key ) ) - ); - } - } - } - - if ( chainable ) { - return elems; - } - - // Gets - if ( bulk ) { - return fn.call( elems ); - } - - return len ? fn( elems[ 0 ], key ) : emptyGet; -}; - - -// Matches dashed string for camelizing -var rmsPrefix = /^-ms-/, - rdashAlpha = /-([a-z])/g; - -// Used by camelCase as callback to replace() -function fcamelCase( _all, letter ) { - return letter.toUpperCase(); -} - -// Convert dashed to camelCase; used by the css and data modules -// Support: IE <=9 - 11, Edge 12 - 15 -// Microsoft forgot to hump their vendor prefix (#9572) -function camelCase( string ) { - return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); -} -var acceptData = function( owner ) { - - // Accepts only: - // - Node - // - Node.ELEMENT_NODE - // - Node.DOCUMENT_NODE - // - Object - // - Any - return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType ); -}; - - - - -function Data() { - this.expando = jQuery.expando + Data.uid++; -} - -Data.uid = 1; - -Data.prototype = { - - cache: function( owner ) { - - // Check if the owner object already has a cache - var value = owner[ this.expando ]; - - // If not, create one - if ( !value ) { - value = {}; - - // We can accept data for non-element nodes in modern browsers, - // but we should not, see #8335. - // Always return an empty object. - if ( acceptData( owner ) ) { - - // If it is a node unlikely to be stringify-ed or looped over - // use plain assignment - if ( owner.nodeType ) { - owner[ this.expando ] = value; - - // Otherwise secure it in a non-enumerable property - // configurable must be true to allow the property to be - // deleted when data is removed - } else { - Object.defineProperty( owner, this.expando, { - value: value, - configurable: true - } ); - } - } - } - - return value; - }, - set: function( owner, data, value ) { - var prop, - cache = this.cache( owner ); - - // Handle: [ owner, key, value ] args - // Always use camelCase key (gh-2257) - if ( typeof data === "string" ) { - cache[ camelCase( data ) ] = value; - - // Handle: [ owner, { properties } ] args - } else { - - // Copy the properties one-by-one to the cache object - for ( prop in data ) { - cache[ camelCase( prop ) ] = data[ prop ]; - } - } - return cache; - }, - get: function( owner, key ) { - return key === undefined ? - this.cache( owner ) : - - // Always use camelCase key (gh-2257) - owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ]; - }, - access: function( owner, key, value ) { - - // In cases where either: - // - // 1. No key was specified - // 2. A string key was specified, but no value provided - // - // Take the "read" path and allow the get method to determine - // which value to return, respectively either: - // - // 1. The entire cache object - // 2. The data stored at the key - // - if ( key === undefined || - ( ( key && typeof key === "string" ) && value === undefined ) ) { - - return this.get( owner, key ); - } - - // When the key is not a string, or both a key and value - // are specified, set or extend (existing objects) with either: - // - // 1. An object of properties - // 2. A key and value - // - this.set( owner, key, value ); - - // Since the "set" path can have two possible entry points - // return the expected data based on which path was taken[*] - return value !== undefined ? value : key; - }, - remove: function( owner, key ) { - var i, - cache = owner[ this.expando ]; - - if ( cache === undefined ) { - return; - } - - if ( key !== undefined ) { - - // Support array or space separated string of keys - if ( Array.isArray( key ) ) { - - // If key is an array of keys... - // We always set camelCase keys, so remove that. - key = key.map( camelCase ); - } else { - key = camelCase( key ); - - // If a key with the spaces exists, use it. - // Otherwise, create an array by matching non-whitespace - key = key in cache ? - [ key ] : - ( key.match( rnothtmlwhite ) || [] ); - } - - i = key.length; - - while ( i-- ) { - delete cache[ key[ i ] ]; - } - } - - // Remove the expando if there's no more data - if ( key === undefined || jQuery.isEmptyObject( cache ) ) { - - // Support: Chrome <=35 - 45 - // Webkit & Blink performance suffers when deleting properties - // from DOM nodes, so set to undefined instead - // https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted) - if ( owner.nodeType ) { - owner[ this.expando ] = undefined; - } else { - delete owner[ this.expando ]; - } - } - }, - hasData: function( owner ) { - var cache = owner[ this.expando ]; - return cache !== undefined && !jQuery.isEmptyObject( cache ); - } -}; -var dataPriv = new Data(); - -var dataUser = new Data(); - - - -// Implementation Summary -// -// 1. Enforce API surface and semantic compatibility with 1.9.x branch -// 2. Improve the module's maintainability by reducing the storage -// paths to a single mechanism. -// 3. Use the same single mechanism to support "private" and "user" data. -// 4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData) -// 5. Avoid exposing implementation details on user objects (eg. expando properties) -// 6. Provide a clear path for implementation upgrade to WeakMap in 2014 - -var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/, - rmultiDash = /[A-Z]/g; - -function getData( data ) { - if ( data === "true" ) { - return true; - } - - if ( data === "false" ) { - return false; - } - - if ( data === "null" ) { - return null; - } - - // Only convert to a number if it doesn't change the string - if ( data === +data + "" ) { - return +data; - } - - if ( rbrace.test( data ) ) { - return JSON.parse( data ); - } - - return data; -} - -function dataAttr( elem, key, data ) { - var name; - - // If nothing was found internally, try to fetch any - // data from the HTML5 data-* attribute - if ( data === undefined && elem.nodeType === 1 ) { - name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase(); - data = elem.getAttribute( name ); - - if ( typeof data === "string" ) { - try { - data = getData( data ); - } catch ( e ) {} - - // Make sure we set the data so it isn't changed later - dataUser.set( elem, key, data ); - } else { - data = undefined; - } - } - return data; -} - -jQuery.extend( { - hasData: function( elem ) { - return dataUser.hasData( elem ) || dataPriv.hasData( elem ); - }, - - data: function( elem, name, data ) { - return dataUser.access( elem, name, data ); - }, - - removeData: function( elem, name ) { - dataUser.remove( elem, name ); - }, - - // TODO: Now that all calls to _data and _removeData have been replaced - // with direct calls to dataPriv methods, these can be deprecated. - _data: function( elem, name, data ) { - return dataPriv.access( elem, name, data ); - }, - - _removeData: function( elem, name ) { - dataPriv.remove( elem, name ); - } -} ); - -jQuery.fn.extend( { - data: function( key, value ) { - var i, name, data, - elem = this[ 0 ], - attrs = elem && elem.attributes; - - // Gets all values - if ( key === undefined ) { - if ( this.length ) { - data = dataUser.get( elem ); - - if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) { - i = attrs.length; - while ( i-- ) { - - // Support: IE 11 only - // The attrs elements can be null (#14894) - if ( attrs[ i ] ) { - name = attrs[ i ].name; - if ( name.indexOf( "data-" ) === 0 ) { - name = camelCase( name.slice( 5 ) ); - dataAttr( elem, name, data[ name ] ); - } - } - } - dataPriv.set( elem, "hasDataAttrs", true ); - } - } - - return data; - } - - // Sets multiple values - if ( typeof key === "object" ) { - return this.each( function() { - dataUser.set( this, key ); - } ); - } - - return access( this, function( value ) { - var data; - - // The calling jQuery object (element matches) is not empty - // (and therefore has an element appears at this[ 0 ]) and the - // `value` parameter was not undefined. An empty jQuery object - // will result in `undefined` for elem = this[ 0 ] which will - // throw an exception if an attempt to read a data cache is made. - if ( elem && value === undefined ) { - - // Attempt to get data from the cache - // The key will always be camelCased in Data - data = dataUser.get( elem, key ); - if ( data !== undefined ) { - return data; - } - - // Attempt to "discover" the data in - // HTML5 custom data-* attrs - data = dataAttr( elem, key ); - if ( data !== undefined ) { - return data; - } - - // We tried really hard, but the data doesn't exist. - return; - } - - // Set the data... - this.each( function() { - - // We always store the camelCased key - dataUser.set( this, key, value ); - } ); - }, null, value, arguments.length > 1, null, true ); - }, - - removeData: function( key ) { - return this.each( function() { - dataUser.remove( this, key ); - } ); - } -} ); - - -jQuery.extend( { - queue: function( elem, type, data ) { - var queue; - - if ( elem ) { - type = ( type || "fx" ) + "queue"; - queue = dataPriv.get( elem, type ); - - // Speed up dequeue by getting out quickly if this is just a lookup - if ( data ) { - if ( !queue || Array.isArray( data ) ) { - queue = dataPriv.access( elem, type, jQuery.makeArray( data ) ); - } else { - queue.push( data ); - } - } - return queue || []; - } - }, - - dequeue: function( elem, type ) { - type = type || "fx"; - - var queue = jQuery.queue( elem, type ), - startLength = queue.length, - fn = queue.shift(), - hooks = jQuery._queueHooks( elem, type ), - next = function() { - jQuery.dequeue( elem, type ); - }; - - // If the fx queue is dequeued, always remove the progress sentinel - if ( fn === "inprogress" ) { - fn = queue.shift(); - startLength--; - } - - if ( fn ) { - - // Add a progress sentinel to prevent the fx queue from being - // automatically dequeued - if ( type === "fx" ) { - queue.unshift( "inprogress" ); - } - - // Clear up the last queue stop function - delete hooks.stop; - fn.call( elem, next, hooks ); - } - - if ( !startLength && hooks ) { - hooks.empty.fire(); - } - }, - - // Not public - generate a queueHooks object, or return the current one - _queueHooks: function( elem, type ) { - var key = type + "queueHooks"; - return dataPriv.get( elem, key ) || dataPriv.access( elem, key, { - empty: jQuery.Callbacks( "once memory" ).add( function() { - dataPriv.remove( elem, [ type + "queue", key ] ); - } ) - } ); - } -} ); - -jQuery.fn.extend( { - queue: function( type, data ) { - var setter = 2; - - if ( typeof type !== "string" ) { - data = type; - type = "fx"; - setter--; - } - - if ( arguments.length < setter ) { - return jQuery.queue( this[ 0 ], type ); - } - - return data === undefined ? - this : - this.each( function() { - var queue = jQuery.queue( this, type, data ); - - // Ensure a hooks for this queue - jQuery._queueHooks( this, type ); - - if ( type === "fx" && queue[ 0 ] !== "inprogress" ) { - jQuery.dequeue( this, type ); - } - } ); - }, - dequeue: function( type ) { - return this.each( function() { - jQuery.dequeue( this, type ); - } ); - }, - clearQueue: function( type ) { - return this.queue( type || "fx", [] ); - }, - - // Get a promise resolved when queues of a certain type - // are emptied (fx is the type by default) - promise: function( type, obj ) { - var tmp, - count = 1, - defer = jQuery.Deferred(), - elements = this, - i = this.length, - resolve = function() { - if ( !( --count ) ) { - defer.resolveWith( elements, [ elements ] ); - } - }; - - if ( typeof type !== "string" ) { - obj = type; - type = undefined; - } - type = type || "fx"; - - while ( i-- ) { - tmp = dataPriv.get( elements[ i ], type + "queueHooks" ); - if ( tmp && tmp.empty ) { - count++; - tmp.empty.add( resolve ); - } - } - resolve(); - return defer.promise( obj ); - } -} ); -var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source; - -var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" ); - - -var cssExpand = [ "Top", "Right", "Bottom", "Left" ]; - -var documentElement = document.documentElement; - - - - var isAttached = function( elem ) { - return jQuery.contains( elem.ownerDocument, elem ); - }, - composed = { composed: true }; - - // Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only - // Check attachment across shadow DOM boundaries when possible (gh-3504) - // Support: iOS 10.0-10.2 only - // Early iOS 10 versions support `attachShadow` but not `getRootNode`, - // leading to errors. We need to check for `getRootNode`. - if ( documentElement.getRootNode ) { - isAttached = function( elem ) { - return jQuery.contains( elem.ownerDocument, elem ) || - elem.getRootNode( composed ) === elem.ownerDocument; - }; - } -var isHiddenWithinTree = function( elem, el ) { - - // isHiddenWithinTree might be called from jQuery#filter function; - // in that case, element will be second argument - elem = el || elem; - - // Inline style trumps all - return elem.style.display === "none" || - elem.style.display === "" && - - // Otherwise, check computed style - // Support: Firefox <=43 - 45 - // Disconnected elements can have computed display: none, so first confirm that elem is - // in the document. - isAttached( elem ) && - - jQuery.css( elem, "display" ) === "none"; - }; - - - -function adjustCSS( elem, prop, valueParts, tween ) { - var adjusted, scale, - maxIterations = 20, - currentValue = tween ? - function() { - return tween.cur(); - } : - function() { - return jQuery.css( elem, prop, "" ); - }, - initial = currentValue(), - unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ), - - // Starting value computation is required for potential unit mismatches - initialInUnit = elem.nodeType && - ( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) && - rcssNum.exec( jQuery.css( elem, prop ) ); - - if ( initialInUnit && initialInUnit[ 3 ] !== unit ) { - - // Support: Firefox <=54 - // Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144) - initial = initial / 2; - - // Trust units reported by jQuery.css - unit = unit || initialInUnit[ 3 ]; - - // Iteratively approximate from a nonzero starting point - initialInUnit = +initial || 1; - - while ( maxIterations-- ) { - - // Evaluate and update our best guess (doubling guesses that zero out). - // Finish if the scale equals or crosses 1 (making the old*new product non-positive). - jQuery.style( elem, prop, initialInUnit + unit ); - if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) { - maxIterations = 0; - } - initialInUnit = initialInUnit / scale; - - } - - initialInUnit = initialInUnit * 2; - jQuery.style( elem, prop, initialInUnit + unit ); - - // Make sure we update the tween properties later on - valueParts = valueParts || []; - } - - if ( valueParts ) { - initialInUnit = +initialInUnit || +initial || 0; - - // Apply relative offset (+=/-=) if specified - adjusted = valueParts[ 1 ] ? - initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] : - +valueParts[ 2 ]; - if ( tween ) { - tween.unit = unit; - tween.start = initialInUnit; - tween.end = adjusted; - } - } - return adjusted; -} - - -var defaultDisplayMap = {}; - -function getDefaultDisplay( elem ) { - var temp, - doc = elem.ownerDocument, - nodeName = elem.nodeName, - display = defaultDisplayMap[ nodeName ]; - - if ( display ) { - return display; - } - - temp = doc.body.appendChild( doc.createElement( nodeName ) ); - display = jQuery.css( temp, "display" ); - - temp.parentNode.removeChild( temp ); - - if ( display === "none" ) { - display = "block"; - } - defaultDisplayMap[ nodeName ] = display; - - return display; -} - -function showHide( elements, show ) { - var display, elem, - values = [], - index = 0, - length = elements.length; - - // Determine new display value for elements that need to change - for ( ; index < length; index++ ) { - elem = elements[ index ]; - if ( !elem.style ) { - continue; - } - - display = elem.style.display; - if ( show ) { - - // Since we force visibility upon cascade-hidden elements, an immediate (and slow) - // check is required in this first loop unless we have a nonempty display value (either - // inline or about-to-be-restored) - if ( display === "none" ) { - values[ index ] = dataPriv.get( elem, "display" ) || null; - if ( !values[ index ] ) { - elem.style.display = ""; - } - } - if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) { - values[ index ] = getDefaultDisplay( elem ); - } - } else { - if ( display !== "none" ) { - values[ index ] = "none"; - - // Remember what we're overwriting - dataPriv.set( elem, "display", display ); - } - } - } - - // Set the display of the elements in a second loop to avoid constant reflow - for ( index = 0; index < length; index++ ) { - if ( values[ index ] != null ) { - elements[ index ].style.display = values[ index ]; - } - } - - return elements; -} - -jQuery.fn.extend( { - show: function() { - return showHide( this, true ); - }, - hide: function() { - return showHide( this ); - }, - toggle: function( state ) { - if ( typeof state === "boolean" ) { - return state ? this.show() : this.hide(); - } - - return this.each( function() { - if ( isHiddenWithinTree( this ) ) { - jQuery( this ).show(); - } else { - jQuery( this ).hide(); - } - } ); - } -} ); -var rcheckableType = ( /^(?:checkbox|radio)$/i ); - -var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i ); - -var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i ); - - - -( function() { - var fragment = document.createDocumentFragment(), - div = fragment.appendChild( document.createElement( "div" ) ), - input = document.createElement( "input" ); - - // Support: Android 4.0 - 4.3 only - // Check state lost if the name is set (#11217) - // Support: Windows Web Apps (WWA) - // `name` and `type` must use .setAttribute for WWA (#14901) - input.setAttribute( "type", "radio" ); - input.setAttribute( "checked", "checked" ); - input.setAttribute( "name", "t" ); - - div.appendChild( input ); - - // Support: Android <=4.1 only - // Older WebKit doesn't clone checked state correctly in fragments - support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked; - - // Support: IE <=11 only - // Make sure textarea (and checkbox) defaultValue is properly cloned - div.innerHTML = ""; - support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue; - - // Support: IE <=9 only - // IE <=9 replaces "; - support.option = !!div.lastChild; -} )(); - - -// We have to close these tags to support XHTML (#13200) -var wrapMap = { - - // XHTML parsers do not magically insert elements in the - // same way that tag soup parsers do. So we cannot shorten - // this by omitting or other required elements. - thead: [ 1, "", "
    " ], - col: [ 2, "", "
    " ], - tr: [ 2, "", "
    " ], - td: [ 3, "", "
    " ], - - _default: [ 0, "", "" ] -}; - -wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead; -wrapMap.th = wrapMap.td; - -// Support: IE <=9 only -if ( !support.option ) { - wrapMap.optgroup = wrapMap.option = [ 1, "" ]; -} - - -function getAll( context, tag ) { - - // Support: IE <=9 - 11 only - // Use typeof to avoid zero-argument method invocation on host objects (#15151) - var ret; - - if ( typeof context.getElementsByTagName !== "undefined" ) { - ret = context.getElementsByTagName( tag || "*" ); - - } else if ( typeof context.querySelectorAll !== "undefined" ) { - ret = context.querySelectorAll( tag || "*" ); - - } else { - ret = []; - } - - if ( tag === undefined || tag && nodeName( context, tag ) ) { - return jQuery.merge( [ context ], ret ); - } - - return ret; -} - - -// Mark scripts as having already been evaluated -function setGlobalEval( elems, refElements ) { - var i = 0, - l = elems.length; - - for ( ; i < l; i++ ) { - dataPriv.set( - elems[ i ], - "globalEval", - !refElements || dataPriv.get( refElements[ i ], "globalEval" ) - ); - } -} - - -var rhtml = /<|&#?\w+;/; - -function buildFragment( elems, context, scripts, selection, ignored ) { - var elem, tmp, tag, wrap, attached, j, - fragment = context.createDocumentFragment(), - nodes = [], - i = 0, - l = elems.length; - - for ( ; i < l; i++ ) { - elem = elems[ i ]; - - if ( elem || elem === 0 ) { - - // Add nodes directly - if ( toType( elem ) === "object" ) { - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem ); - - // Convert non-html into a text node - } else if ( !rhtml.test( elem ) ) { - nodes.push( context.createTextNode( elem ) ); - - // Convert html into DOM nodes - } else { - tmp = tmp || fragment.appendChild( context.createElement( "div" ) ); - - // Deserialize a standard representation - tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase(); - wrap = wrapMap[ tag ] || wrapMap._default; - tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ]; - - // Descend through wrappers to the right content - j = wrap[ 0 ]; - while ( j-- ) { - tmp = tmp.lastChild; - } - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( nodes, tmp.childNodes ); - - // Remember the top-level container - tmp = fragment.firstChild; - - // Ensure the created nodes are orphaned (#12392) - tmp.textContent = ""; - } - } - } - - // Remove wrapper from fragment - fragment.textContent = ""; - - i = 0; - while ( ( elem = nodes[ i++ ] ) ) { - - // Skip elements already in the context collection (trac-4087) - if ( selection && jQuery.inArray( elem, selection ) > -1 ) { - if ( ignored ) { - ignored.push( elem ); - } - continue; - } - - attached = isAttached( elem ); - - // Append to fragment - tmp = getAll( fragment.appendChild( elem ), "script" ); - - // Preserve script evaluation history - if ( attached ) { - setGlobalEval( tmp ); - } - - // Capture executables - if ( scripts ) { - j = 0; - while ( ( elem = tmp[ j++ ] ) ) { - if ( rscriptType.test( elem.type || "" ) ) { - scripts.push( elem ); - } - } - } - } - - return fragment; -} - - -var rtypenamespace = /^([^.]*)(?:\.(.+)|)/; - -function returnTrue() { - return true; -} - -function returnFalse() { - return false; -} - -// Support: IE <=9 - 11+ -// focus() and blur() are asynchronous, except when they are no-op. -// So expect focus to be synchronous when the element is already active, -// and blur to be synchronous when the element is not already active. -// (focus and blur are always synchronous in other supported browsers, -// this just defines when we can count on it). -function expectSync( elem, type ) { - return ( elem === safeActiveElement() ) === ( type === "focus" ); -} - -// Support: IE <=9 only -// Accessing document.activeElement can throw unexpectedly -// https://bugs.jquery.com/ticket/13393 -function safeActiveElement() { - try { - return document.activeElement; - } catch ( err ) { } -} - -function on( elem, types, selector, data, fn, one ) { - var origFn, type; - - // Types can be a map of types/handlers - if ( typeof types === "object" ) { - - // ( types-Object, selector, data ) - if ( typeof selector !== "string" ) { - - // ( types-Object, data ) - data = data || selector; - selector = undefined; - } - for ( type in types ) { - on( elem, type, selector, data, types[ type ], one ); - } - return elem; - } - - if ( data == null && fn == null ) { - - // ( types, fn ) - fn = selector; - data = selector = undefined; - } else if ( fn == null ) { - if ( typeof selector === "string" ) { - - // ( types, selector, fn ) - fn = data; - data = undefined; - } else { - - // ( types, data, fn ) - fn = data; - data = selector; - selector = undefined; - } - } - if ( fn === false ) { - fn = returnFalse; - } else if ( !fn ) { - return elem; - } - - if ( one === 1 ) { - origFn = fn; - fn = function( event ) { - - // Can use an empty set, since event contains the info - jQuery().off( event ); - return origFn.apply( this, arguments ); - }; - - // Use same guid so caller can remove using origFn - fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ ); - } - return elem.each( function() { - jQuery.event.add( this, types, fn, data, selector ); - } ); -} - -/* - * Helper functions for managing events -- not part of the public interface. - * Props to Dean Edwards' addEvent library for many of the ideas. - */ -jQuery.event = { - - global: {}, - - add: function( elem, types, handler, data, selector ) { - - var handleObjIn, eventHandle, tmp, - events, t, handleObj, - special, handlers, type, namespaces, origType, - elemData = dataPriv.get( elem ); - - // Only attach events to objects that accept data - if ( !acceptData( elem ) ) { - return; - } - - // Caller can pass in an object of custom data in lieu of the handler - if ( handler.handler ) { - handleObjIn = handler; - handler = handleObjIn.handler; - selector = handleObjIn.selector; - } - - // Ensure that invalid selectors throw exceptions at attach time - // Evaluate against documentElement in case elem is a non-element node (e.g., document) - if ( selector ) { - jQuery.find.matchesSelector( documentElement, selector ); - } - - // Make sure that the handler has a unique ID, used to find/remove it later - if ( !handler.guid ) { - handler.guid = jQuery.guid++; - } - - // Init the element's event structure and main handler, if this is the first - if ( !( events = elemData.events ) ) { - events = elemData.events = Object.create( null ); - } - if ( !( eventHandle = elemData.handle ) ) { - eventHandle = elemData.handle = function( e ) { - - // Discard the second event of a jQuery.event.trigger() and - // when an event is called after a page has unloaded - return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ? - jQuery.event.dispatch.apply( elem, arguments ) : undefined; - }; - } - - // Handle multiple events separated by a space - types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[ t ] ) || []; - type = origType = tmp[ 1 ]; - namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); - - // There *must* be a type, no attaching namespace-only handlers - if ( !type ) { - continue; - } - - // If event changes its type, use the special event handlers for the changed type - special = jQuery.event.special[ type ] || {}; - - // If selector defined, determine special event api type, otherwise given type - type = ( selector ? special.delegateType : special.bindType ) || type; - - // Update special based on newly reset type - special = jQuery.event.special[ type ] || {}; - - // handleObj is passed to all event handlers - handleObj = jQuery.extend( { - type: type, - origType: origType, - data: data, - handler: handler, - guid: handler.guid, - selector: selector, - needsContext: selector && jQuery.expr.match.needsContext.test( selector ), - namespace: namespaces.join( "." ) - }, handleObjIn ); - - // Init the event handler queue if we're the first - if ( !( handlers = events[ type ] ) ) { - handlers = events[ type ] = []; - handlers.delegateCount = 0; - - // Only use addEventListener if the special events handler returns false - if ( !special.setup || - special.setup.call( elem, data, namespaces, eventHandle ) === false ) { - - if ( elem.addEventListener ) { - elem.addEventListener( type, eventHandle ); - } - } - } - - if ( special.add ) { - special.add.call( elem, handleObj ); - - if ( !handleObj.handler.guid ) { - handleObj.handler.guid = handler.guid; - } - } - - // Add to the element's handler list, delegates in front - if ( selector ) { - handlers.splice( handlers.delegateCount++, 0, handleObj ); - } else { - handlers.push( handleObj ); - } - - // Keep track of which events have ever been used, for event optimization - jQuery.event.global[ type ] = true; - } - - }, - - // Detach an event or set of events from an element - remove: function( elem, types, handler, selector, mappedTypes ) { - - var j, origCount, tmp, - events, t, handleObj, - special, handlers, type, namespaces, origType, - elemData = dataPriv.hasData( elem ) && dataPriv.get( elem ); - - if ( !elemData || !( events = elemData.events ) ) { - return; - } - - // Once for each type.namespace in types; type may be omitted - types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[ t ] ) || []; - type = origType = tmp[ 1 ]; - namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); - - // Unbind all events (on this namespace, if provided) for the element - if ( !type ) { - for ( type in events ) { - jQuery.event.remove( elem, type + types[ t ], handler, selector, true ); - } - continue; - } - - special = jQuery.event.special[ type ] || {}; - type = ( selector ? special.delegateType : special.bindType ) || type; - handlers = events[ type ] || []; - tmp = tmp[ 2 ] && - new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ); - - // Remove matching events - origCount = j = handlers.length; - while ( j-- ) { - handleObj = handlers[ j ]; - - if ( ( mappedTypes || origType === handleObj.origType ) && - ( !handler || handler.guid === handleObj.guid ) && - ( !tmp || tmp.test( handleObj.namespace ) ) && - ( !selector || selector === handleObj.selector || - selector === "**" && handleObj.selector ) ) { - handlers.splice( j, 1 ); - - if ( handleObj.selector ) { - handlers.delegateCount--; - } - if ( special.remove ) { - special.remove.call( elem, handleObj ); - } - } - } - - // Remove generic event handler if we removed something and no more handlers exist - // (avoids potential for endless recursion during removal of special event handlers) - if ( origCount && !handlers.length ) { - if ( !special.teardown || - special.teardown.call( elem, namespaces, elemData.handle ) === false ) { - - jQuery.removeEvent( elem, type, elemData.handle ); - } - - delete events[ type ]; - } - } - - // Remove data and the expando if it's no longer used - if ( jQuery.isEmptyObject( events ) ) { - dataPriv.remove( elem, "handle events" ); - } - }, - - dispatch: function( nativeEvent ) { - - var i, j, ret, matched, handleObj, handlerQueue, - args = new Array( arguments.length ), - - // Make a writable jQuery.Event from the native event object - event = jQuery.event.fix( nativeEvent ), - - handlers = ( - dataPriv.get( this, "events" ) || Object.create( null ) - )[ event.type ] || [], - special = jQuery.event.special[ event.type ] || {}; - - // Use the fix-ed jQuery.Event rather than the (read-only) native event - args[ 0 ] = event; - - for ( i = 1; i < arguments.length; i++ ) { - args[ i ] = arguments[ i ]; - } - - event.delegateTarget = this; - - // Call the preDispatch hook for the mapped type, and let it bail if desired - if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) { - return; - } - - // Determine handlers - handlerQueue = jQuery.event.handlers.call( this, event, handlers ); - - // Run delegates first; they may want to stop propagation beneath us - i = 0; - while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) { - event.currentTarget = matched.elem; - - j = 0; - while ( ( handleObj = matched.handlers[ j++ ] ) && - !event.isImmediatePropagationStopped() ) { - - // If the event is namespaced, then each handler is only invoked if it is - // specially universal or its namespaces are a superset of the event's. - if ( !event.rnamespace || handleObj.namespace === false || - event.rnamespace.test( handleObj.namespace ) ) { - - event.handleObj = handleObj; - event.data = handleObj.data; - - ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle || - handleObj.handler ).apply( matched.elem, args ); - - if ( ret !== undefined ) { - if ( ( event.result = ret ) === false ) { - event.preventDefault(); - event.stopPropagation(); - } - } - } - } - } - - // Call the postDispatch hook for the mapped type - if ( special.postDispatch ) { - special.postDispatch.call( this, event ); - } - - return event.result; - }, - - handlers: function( event, handlers ) { - var i, handleObj, sel, matchedHandlers, matchedSelectors, - handlerQueue = [], - delegateCount = handlers.delegateCount, - cur = event.target; - - // Find delegate handlers - if ( delegateCount && - - // Support: IE <=9 - // Black-hole SVG instance trees (trac-13180) - cur.nodeType && - - // Support: Firefox <=42 - // Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861) - // https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click - // Support: IE 11 only - // ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343) - !( event.type === "click" && event.button >= 1 ) ) { - - for ( ; cur !== this; cur = cur.parentNode || this ) { - - // Don't check non-elements (#13208) - // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764) - if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) { - matchedHandlers = []; - matchedSelectors = {}; - for ( i = 0; i < delegateCount; i++ ) { - handleObj = handlers[ i ]; - - // Don't conflict with Object.prototype properties (#13203) - sel = handleObj.selector + " "; - - if ( matchedSelectors[ sel ] === undefined ) { - matchedSelectors[ sel ] = handleObj.needsContext ? - jQuery( sel, this ).index( cur ) > -1 : - jQuery.find( sel, this, null, [ cur ] ).length; - } - if ( matchedSelectors[ sel ] ) { - matchedHandlers.push( handleObj ); - } - } - if ( matchedHandlers.length ) { - handlerQueue.push( { elem: cur, handlers: matchedHandlers } ); - } - } - } - } - - // Add the remaining (directly-bound) handlers - cur = this; - if ( delegateCount < handlers.length ) { - handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } ); - } - - return handlerQueue; - }, - - addProp: function( name, hook ) { - Object.defineProperty( jQuery.Event.prototype, name, { - enumerable: true, - configurable: true, - - get: isFunction( hook ) ? - function() { - if ( this.originalEvent ) { - return hook( this.originalEvent ); - } - } : - function() { - if ( this.originalEvent ) { - return this.originalEvent[ name ]; - } - }, - - set: function( value ) { - Object.defineProperty( this, name, { - enumerable: true, - configurable: true, - writable: true, - value: value - } ); - } - } ); - }, - - fix: function( originalEvent ) { - return originalEvent[ jQuery.expando ] ? - originalEvent : - new jQuery.Event( originalEvent ); - }, - - special: { - load: { - - // Prevent triggered image.load events from bubbling to window.load - noBubble: true - }, - click: { - - // Utilize native event to ensure correct state for checkable inputs - setup: function( data ) { - - // For mutual compressibility with _default, replace `this` access with a local var. - // `|| data` is dead code meant only to preserve the variable through minification. - var el = this || data; - - // Claim the first handler - if ( rcheckableType.test( el.type ) && - el.click && nodeName( el, "input" ) ) { - - // dataPriv.set( el, "click", ... ) - leverageNative( el, "click", returnTrue ); - } - - // Return false to allow normal processing in the caller - return false; - }, - trigger: function( data ) { - - // For mutual compressibility with _default, replace `this` access with a local var. - // `|| data` is dead code meant only to preserve the variable through minification. - var el = this || data; - - // Force setup before triggering a click - if ( rcheckableType.test( el.type ) && - el.click && nodeName( el, "input" ) ) { - - leverageNative( el, "click" ); - } - - // Return non-false to allow normal event-path propagation - return true; - }, - - // For cross-browser consistency, suppress native .click() on links - // Also prevent it if we're currently inside a leveraged native-event stack - _default: function( event ) { - var target = event.target; - return rcheckableType.test( target.type ) && - target.click && nodeName( target, "input" ) && - dataPriv.get( target, "click" ) || - nodeName( target, "a" ); - } - }, - - beforeunload: { - postDispatch: function( event ) { - - // Support: Firefox 20+ - // Firefox doesn't alert if the returnValue field is not set. - if ( event.result !== undefined && event.originalEvent ) { - event.originalEvent.returnValue = event.result; - } - } - } - } -}; - -// Ensure the presence of an event listener that handles manually-triggered -// synthetic events by interrupting progress until reinvoked in response to -// *native* events that it fires directly, ensuring that state changes have -// already occurred before other listeners are invoked. -function leverageNative( el, type, expectSync ) { - - // Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add - if ( !expectSync ) { - if ( dataPriv.get( el, type ) === undefined ) { - jQuery.event.add( el, type, returnTrue ); - } - return; - } - - // Register the controller as a special universal handler for all event namespaces - dataPriv.set( el, type, false ); - jQuery.event.add( el, type, { - namespace: false, - handler: function( event ) { - var notAsync, result, - saved = dataPriv.get( this, type ); - - if ( ( event.isTrigger & 1 ) && this[ type ] ) { - - // Interrupt processing of the outer synthetic .trigger()ed event - // Saved data should be false in such cases, but might be a leftover capture object - // from an async native handler (gh-4350) - if ( !saved.length ) { - - // Store arguments for use when handling the inner native event - // There will always be at least one argument (an event object), so this array - // will not be confused with a leftover capture object. - saved = slice.call( arguments ); - dataPriv.set( this, type, saved ); - - // Trigger the native event and capture its result - // Support: IE <=9 - 11+ - // focus() and blur() are asynchronous - notAsync = expectSync( this, type ); - this[ type ](); - result = dataPriv.get( this, type ); - if ( saved !== result || notAsync ) { - dataPriv.set( this, type, false ); - } else { - result = {}; - } - if ( saved !== result ) { - - // Cancel the outer synthetic event - event.stopImmediatePropagation(); - event.preventDefault(); - - // Support: Chrome 86+ - // In Chrome, if an element having a focusout handler is blurred by - // clicking outside of it, it invokes the handler synchronously. If - // that handler calls `.remove()` on the element, the data is cleared, - // leaving `result` undefined. We need to guard against this. - return result && result.value; - } - - // If this is an inner synthetic event for an event with a bubbling surrogate - // (focus or blur), assume that the surrogate already propagated from triggering the - // native event and prevent that from happening again here. - // This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the - // bubbling surrogate propagates *after* the non-bubbling base), but that seems - // less bad than duplication. - } else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) { - event.stopPropagation(); - } - - // If this is a native event triggered above, everything is now in order - // Fire an inner synthetic event with the original arguments - } else if ( saved.length ) { - - // ...and capture the result - dataPriv.set( this, type, { - value: jQuery.event.trigger( - - // Support: IE <=9 - 11+ - // Extend with the prototype to reset the above stopImmediatePropagation() - jQuery.extend( saved[ 0 ], jQuery.Event.prototype ), - saved.slice( 1 ), - this - ) - } ); - - // Abort handling of the native event - event.stopImmediatePropagation(); - } - } - } ); -} - -jQuery.removeEvent = function( elem, type, handle ) { - - // This "if" is needed for plain objects - if ( elem.removeEventListener ) { - elem.removeEventListener( type, handle ); - } -}; - -jQuery.Event = function( src, props ) { - - // Allow instantiation without the 'new' keyword - if ( !( this instanceof jQuery.Event ) ) { - return new jQuery.Event( src, props ); - } - - // Event object - if ( src && src.type ) { - this.originalEvent = src; - this.type = src.type; - - // Events bubbling up the document may have been marked as prevented - // by a handler lower down the tree; reflect the correct value. - this.isDefaultPrevented = src.defaultPrevented || - src.defaultPrevented === undefined && - - // Support: Android <=2.3 only - src.returnValue === false ? - returnTrue : - returnFalse; - - // Create target properties - // Support: Safari <=6 - 7 only - // Target should not be a text node (#504, #13143) - this.target = ( src.target && src.target.nodeType === 3 ) ? - src.target.parentNode : - src.target; - - this.currentTarget = src.currentTarget; - this.relatedTarget = src.relatedTarget; - - // Event type - } else { - this.type = src; - } - - // Put explicitly provided properties onto the event object - if ( props ) { - jQuery.extend( this, props ); - } - - // Create a timestamp if incoming event doesn't have one - this.timeStamp = src && src.timeStamp || Date.now(); - - // Mark it as fixed - this[ jQuery.expando ] = true; -}; - -// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding -// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html -jQuery.Event.prototype = { - constructor: jQuery.Event, - isDefaultPrevented: returnFalse, - isPropagationStopped: returnFalse, - isImmediatePropagationStopped: returnFalse, - isSimulated: false, - - preventDefault: function() { - var e = this.originalEvent; - - this.isDefaultPrevented = returnTrue; - - if ( e && !this.isSimulated ) { - e.preventDefault(); - } - }, - stopPropagation: function() { - var e = this.originalEvent; - - this.isPropagationStopped = returnTrue; - - if ( e && !this.isSimulated ) { - e.stopPropagation(); - } - }, - stopImmediatePropagation: function() { - var e = this.originalEvent; - - this.isImmediatePropagationStopped = returnTrue; - - if ( e && !this.isSimulated ) { - e.stopImmediatePropagation(); - } - - this.stopPropagation(); - } -}; - -// Includes all common event props including KeyEvent and MouseEvent specific props -jQuery.each( { - altKey: true, - bubbles: true, - cancelable: true, - changedTouches: true, - ctrlKey: true, - detail: true, - eventPhase: true, - metaKey: true, - pageX: true, - pageY: true, - shiftKey: true, - view: true, - "char": true, - code: true, - charCode: true, - key: true, - keyCode: true, - button: true, - buttons: true, - clientX: true, - clientY: true, - offsetX: true, - offsetY: true, - pointerId: true, - pointerType: true, - screenX: true, - screenY: true, - targetTouches: true, - toElement: true, - touches: true, - which: true -}, jQuery.event.addProp ); - -jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) { - jQuery.event.special[ type ] = { - - // Utilize native event if possible so blur/focus sequence is correct - setup: function() { - - // Claim the first handler - // dataPriv.set( this, "focus", ... ) - // dataPriv.set( this, "blur", ... ) - leverageNative( this, type, expectSync ); - - // Return false to allow normal processing in the caller - return false; - }, - trigger: function() { - - // Force setup before trigger - leverageNative( this, type ); - - // Return non-false to allow normal event-path propagation - return true; - }, - - // Suppress native focus or blur as it's already being fired - // in leverageNative. - _default: function() { - return true; - }, - - delegateType: delegateType - }; -} ); - -// Create mouseenter/leave events using mouseover/out and event-time checks -// so that event delegation works in jQuery. -// Do the same for pointerenter/pointerleave and pointerover/pointerout -// -// Support: Safari 7 only -// Safari sends mouseenter too often; see: -// https://bugs.chromium.org/p/chromium/issues/detail?id=470258 -// for the description of the bug (it existed in older Chrome versions as well). -jQuery.each( { - mouseenter: "mouseover", - mouseleave: "mouseout", - pointerenter: "pointerover", - pointerleave: "pointerout" -}, function( orig, fix ) { - jQuery.event.special[ orig ] = { - delegateType: fix, - bindType: fix, - - handle: function( event ) { - var ret, - target = this, - related = event.relatedTarget, - handleObj = event.handleObj; - - // For mouseenter/leave call the handler if related is outside the target. - // NB: No relatedTarget if the mouse left/entered the browser window - if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) { - event.type = handleObj.origType; - ret = handleObj.handler.apply( this, arguments ); - event.type = fix; - } - return ret; - } - }; -} ); - -jQuery.fn.extend( { - - on: function( types, selector, data, fn ) { - return on( this, types, selector, data, fn ); - }, - one: function( types, selector, data, fn ) { - return on( this, types, selector, data, fn, 1 ); - }, - off: function( types, selector, fn ) { - var handleObj, type; - if ( types && types.preventDefault && types.handleObj ) { - - // ( event ) dispatched jQuery.Event - handleObj = types.handleObj; - jQuery( types.delegateTarget ).off( - handleObj.namespace ? - handleObj.origType + "." + handleObj.namespace : - handleObj.origType, - handleObj.selector, - handleObj.handler - ); - return this; - } - if ( typeof types === "object" ) { - - // ( types-object [, selector] ) - for ( type in types ) { - this.off( type, selector, types[ type ] ); - } - return this; - } - if ( selector === false || typeof selector === "function" ) { - - // ( types [, fn] ) - fn = selector; - selector = undefined; - } - if ( fn === false ) { - fn = returnFalse; - } - return this.each( function() { - jQuery.event.remove( this, types, fn, selector ); - } ); - } -} ); - - -var - - // Support: IE <=10 - 11, Edge 12 - 13 only - // In IE/Edge using regex groups here causes severe slowdowns. - // See https://connect.microsoft.com/IE/feedback/details/1736512/ - rnoInnerhtml = /\s*$/g; - -// Prefer a tbody over its parent table for containing new rows -function manipulationTarget( elem, content ) { - if ( nodeName( elem, "table" ) && - nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) { - - return jQuery( elem ).children( "tbody" )[ 0 ] || elem; - } - - return elem; -} - -// Replace/restore the type attribute of script elements for safe DOM manipulation -function disableScript( elem ) { - elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type; - return elem; -} -function restoreScript( elem ) { - if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) { - elem.type = elem.type.slice( 5 ); - } else { - elem.removeAttribute( "type" ); - } - - return elem; -} - -function cloneCopyEvent( src, dest ) { - var i, l, type, pdataOld, udataOld, udataCur, events; - - if ( dest.nodeType !== 1 ) { - return; - } - - // 1. Copy private data: events, handlers, etc. - if ( dataPriv.hasData( src ) ) { - pdataOld = dataPriv.get( src ); - events = pdataOld.events; - - if ( events ) { - dataPriv.remove( dest, "handle events" ); - - for ( type in events ) { - for ( i = 0, l = events[ type ].length; i < l; i++ ) { - jQuery.event.add( dest, type, events[ type ][ i ] ); - } - } - } - } - - // 2. Copy user data - if ( dataUser.hasData( src ) ) { - udataOld = dataUser.access( src ); - udataCur = jQuery.extend( {}, udataOld ); - - dataUser.set( dest, udataCur ); - } -} - -// Fix IE bugs, see support tests -function fixInput( src, dest ) { - var nodeName = dest.nodeName.toLowerCase(); - - // Fails to persist the checked state of a cloned checkbox or radio button. - if ( nodeName === "input" && rcheckableType.test( src.type ) ) { - dest.checked = src.checked; - - // Fails to return the selected option to the default selected state when cloning options - } else if ( nodeName === "input" || nodeName === "textarea" ) { - dest.defaultValue = src.defaultValue; - } -} - -function domManip( collection, args, callback, ignored ) { - - // Flatten any nested arrays - args = flat( args ); - - var fragment, first, scripts, hasScripts, node, doc, - i = 0, - l = collection.length, - iNoClone = l - 1, - value = args[ 0 ], - valueIsFunction = isFunction( value ); - - // We can't cloneNode fragments that contain checked, in WebKit - if ( valueIsFunction || - ( l > 1 && typeof value === "string" && - !support.checkClone && rchecked.test( value ) ) ) { - return collection.each( function( index ) { - var self = collection.eq( index ); - if ( valueIsFunction ) { - args[ 0 ] = value.call( this, index, self.html() ); - } - domManip( self, args, callback, ignored ); - } ); - } - - if ( l ) { - fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored ); - first = fragment.firstChild; - - if ( fragment.childNodes.length === 1 ) { - fragment = first; - } - - // Require either new content or an interest in ignored elements to invoke the callback - if ( first || ignored ) { - scripts = jQuery.map( getAll( fragment, "script" ), disableScript ); - hasScripts = scripts.length; - - // Use the original fragment for the last item - // instead of the first because it can end up - // being emptied incorrectly in certain situations (#8070). - for ( ; i < l; i++ ) { - node = fragment; - - if ( i !== iNoClone ) { - node = jQuery.clone( node, true, true ); - - // Keep references to cloned scripts for later restoration - if ( hasScripts ) { - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( scripts, getAll( node, "script" ) ); - } - } - - callback.call( collection[ i ], node, i ); - } - - if ( hasScripts ) { - doc = scripts[ scripts.length - 1 ].ownerDocument; - - // Reenable scripts - jQuery.map( scripts, restoreScript ); - - // Evaluate executable scripts on first document insertion - for ( i = 0; i < hasScripts; i++ ) { - node = scripts[ i ]; - if ( rscriptType.test( node.type || "" ) && - !dataPriv.access( node, "globalEval" ) && - jQuery.contains( doc, node ) ) { - - if ( node.src && ( node.type || "" ).toLowerCase() !== "module" ) { - - // Optional AJAX dependency, but won't run scripts if not present - if ( jQuery._evalUrl && !node.noModule ) { - jQuery._evalUrl( node.src, { - nonce: node.nonce || node.getAttribute( "nonce" ) - }, doc ); - } - } else { - DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc ); - } - } - } - } - } - } - - return collection; -} - -function remove( elem, selector, keepData ) { - var node, - nodes = selector ? jQuery.filter( selector, elem ) : elem, - i = 0; - - for ( ; ( node = nodes[ i ] ) != null; i++ ) { - if ( !keepData && node.nodeType === 1 ) { - jQuery.cleanData( getAll( node ) ); - } - - if ( node.parentNode ) { - if ( keepData && isAttached( node ) ) { - setGlobalEval( getAll( node, "script" ) ); - } - node.parentNode.removeChild( node ); - } - } - - return elem; -} - -jQuery.extend( { - htmlPrefilter: function( html ) { - return html; - }, - - clone: function( elem, dataAndEvents, deepDataAndEvents ) { - var i, l, srcElements, destElements, - clone = elem.cloneNode( true ), - inPage = isAttached( elem ); - - // Fix IE cloning issues - if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) && - !jQuery.isXMLDoc( elem ) ) { - - // We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2 - destElements = getAll( clone ); - srcElements = getAll( elem ); - - for ( i = 0, l = srcElements.length; i < l; i++ ) { - fixInput( srcElements[ i ], destElements[ i ] ); - } - } - - // Copy the events from the original to the clone - if ( dataAndEvents ) { - if ( deepDataAndEvents ) { - srcElements = srcElements || getAll( elem ); - destElements = destElements || getAll( clone ); - - for ( i = 0, l = srcElements.length; i < l; i++ ) { - cloneCopyEvent( srcElements[ i ], destElements[ i ] ); - } - } else { - cloneCopyEvent( elem, clone ); - } - } - - // Preserve script evaluation history - destElements = getAll( clone, "script" ); - if ( destElements.length > 0 ) { - setGlobalEval( destElements, !inPage && getAll( elem, "script" ) ); - } - - // Return the cloned set - return clone; - }, - - cleanData: function( elems ) { - var data, elem, type, - special = jQuery.event.special, - i = 0; - - for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) { - if ( acceptData( elem ) ) { - if ( ( data = elem[ dataPriv.expando ] ) ) { - if ( data.events ) { - for ( type in data.events ) { - if ( special[ type ] ) { - jQuery.event.remove( elem, type ); - - // This is a shortcut to avoid jQuery.event.remove's overhead - } else { - jQuery.removeEvent( elem, type, data.handle ); - } - } - } - - // Support: Chrome <=35 - 45+ - // Assign undefined instead of using delete, see Data#remove - elem[ dataPriv.expando ] = undefined; - } - if ( elem[ dataUser.expando ] ) { - - // Support: Chrome <=35 - 45+ - // Assign undefined instead of using delete, see Data#remove - elem[ dataUser.expando ] = undefined; - } - } - } - } -} ); - -jQuery.fn.extend( { - detach: function( selector ) { - return remove( this, selector, true ); - }, - - remove: function( selector ) { - return remove( this, selector ); - }, - - text: function( value ) { - return access( this, function( value ) { - return value === undefined ? - jQuery.text( this ) : - this.empty().each( function() { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - this.textContent = value; - } - } ); - }, null, value, arguments.length ); - }, - - append: function() { - return domManip( this, arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.appendChild( elem ); - } - } ); - }, - - prepend: function() { - return domManip( this, arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.insertBefore( elem, target.firstChild ); - } - } ); - }, - - before: function() { - return domManip( this, arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this ); - } - } ); - }, - - after: function() { - return domManip( this, arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this.nextSibling ); - } - } ); - }, - - empty: function() { - var elem, - i = 0; - - for ( ; ( elem = this[ i ] ) != null; i++ ) { - if ( elem.nodeType === 1 ) { - - // Prevent memory leaks - jQuery.cleanData( getAll( elem, false ) ); - - // Remove any remaining nodes - elem.textContent = ""; - } - } - - return this; - }, - - clone: function( dataAndEvents, deepDataAndEvents ) { - dataAndEvents = dataAndEvents == null ? false : dataAndEvents; - deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents; - - return this.map( function() { - return jQuery.clone( this, dataAndEvents, deepDataAndEvents ); - } ); - }, - - html: function( value ) { - return access( this, function( value ) { - var elem = this[ 0 ] || {}, - i = 0, - l = this.length; - - if ( value === undefined && elem.nodeType === 1 ) { - return elem.innerHTML; - } - - // See if we can take a shortcut and just use innerHTML - if ( typeof value === "string" && !rnoInnerhtml.test( value ) && - !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) { - - value = jQuery.htmlPrefilter( value ); - - try { - for ( ; i < l; i++ ) { - elem = this[ i ] || {}; - - // Remove element nodes and prevent memory leaks - if ( elem.nodeType === 1 ) { - jQuery.cleanData( getAll( elem, false ) ); - elem.innerHTML = value; - } - } - - elem = 0; - - // If using innerHTML throws an exception, use the fallback method - } catch ( e ) {} - } - - if ( elem ) { - this.empty().append( value ); - } - }, null, value, arguments.length ); - }, - - replaceWith: function() { - var ignored = []; - - // Make the changes, replacing each non-ignored context element with the new content - return domManip( this, arguments, function( elem ) { - var parent = this.parentNode; - - if ( jQuery.inArray( this, ignored ) < 0 ) { - jQuery.cleanData( getAll( this ) ); - if ( parent ) { - parent.replaceChild( elem, this ); - } - } - - // Force callback invocation - }, ignored ); - } -} ); - -jQuery.each( { - appendTo: "append", - prependTo: "prepend", - insertBefore: "before", - insertAfter: "after", - replaceAll: "replaceWith" -}, function( name, original ) { - jQuery.fn[ name ] = function( selector ) { - var elems, - ret = [], - insert = jQuery( selector ), - last = insert.length - 1, - i = 0; - - for ( ; i <= last; i++ ) { - elems = i === last ? this : this.clone( true ); - jQuery( insert[ i ] )[ original ]( elems ); - - // Support: Android <=4.0 only, PhantomJS 1 only - // .get() because push.apply(_, arraylike) throws on ancient WebKit - push.apply( ret, elems.get() ); - } - - return this.pushStack( ret ); - }; -} ); -var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" ); - -var getStyles = function( elem ) { - - // Support: IE <=11 only, Firefox <=30 (#15098, #14150) - // IE throws on elements created in popups - // FF meanwhile throws on frame elements through "defaultView.getComputedStyle" - var view = elem.ownerDocument.defaultView; - - if ( !view || !view.opener ) { - view = window; - } - - return view.getComputedStyle( elem ); - }; - -var swap = function( elem, options, callback ) { - var ret, name, - old = {}; - - // Remember the old values, and insert the new ones - for ( name in options ) { - old[ name ] = elem.style[ name ]; - elem.style[ name ] = options[ name ]; - } - - ret = callback.call( elem ); - - // Revert the old values - for ( name in options ) { - elem.style[ name ] = old[ name ]; - } - - return ret; -}; - - -var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" ); - - - -( function() { - - // Executing both pixelPosition & boxSizingReliable tests require only one layout - // so they're executed at the same time to save the second computation. - function computeStyleTests() { - - // This is a singleton, we need to execute it only once - if ( !div ) { - return; - } - - container.style.cssText = "position:absolute;left:-11111px;width:60px;" + - "margin-top:1px;padding:0;border:0"; - div.style.cssText = - "position:relative;display:block;box-sizing:border-box;overflow:scroll;" + - "margin:auto;border:1px;padding:1px;" + - "width:60%;top:1%"; - documentElement.appendChild( container ).appendChild( div ); - - var divStyle = window.getComputedStyle( div ); - pixelPositionVal = divStyle.top !== "1%"; - - // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44 - reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12; - - // Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3 - // Some styles come back with percentage values, even though they shouldn't - div.style.right = "60%"; - pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36; - - // Support: IE 9 - 11 only - // Detect misreporting of content dimensions for box-sizing:border-box elements - boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36; - - // Support: IE 9 only - // Detect overflow:scroll screwiness (gh-3699) - // Support: Chrome <=64 - // Don't get tricked when zoom affects offsetWidth (gh-4029) - div.style.position = "absolute"; - scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12; - - documentElement.removeChild( container ); - - // Nullify the div so it wouldn't be stored in the memory and - // it will also be a sign that checks already performed - div = null; - } - - function roundPixelMeasures( measure ) { - return Math.round( parseFloat( measure ) ); - } - - var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal, - reliableTrDimensionsVal, reliableMarginLeftVal, - container = document.createElement( "div" ), - div = document.createElement( "div" ); - - // Finish early in limited (non-browser) environments - if ( !div.style ) { - return; - } - - // Support: IE <=9 - 11 only - // Style of cloned element affects source element cloned (#8908) - div.style.backgroundClip = "content-box"; - div.cloneNode( true ).style.backgroundClip = ""; - support.clearCloneStyle = div.style.backgroundClip === "content-box"; - - jQuery.extend( support, { - boxSizingReliable: function() { - computeStyleTests(); - return boxSizingReliableVal; - }, - pixelBoxStyles: function() { - computeStyleTests(); - return pixelBoxStylesVal; - }, - pixelPosition: function() { - computeStyleTests(); - return pixelPositionVal; - }, - reliableMarginLeft: function() { - computeStyleTests(); - return reliableMarginLeftVal; - }, - scrollboxSize: function() { - computeStyleTests(); - return scrollboxSizeVal; - }, - - // Support: IE 9 - 11+, Edge 15 - 18+ - // IE/Edge misreport `getComputedStyle` of table rows with width/height - // set in CSS while `offset*` properties report correct values. - // Behavior in IE 9 is more subtle than in newer versions & it passes - // some versions of this test; make sure not to make it pass there! - // - // Support: Firefox 70+ - // Only Firefox includes border widths - // in computed dimensions. (gh-4529) - reliableTrDimensions: function() { - var table, tr, trChild, trStyle; - if ( reliableTrDimensionsVal == null ) { - table = document.createElement( "table" ); - tr = document.createElement( "tr" ); - trChild = document.createElement( "div" ); - - table.style.cssText = "position:absolute;left:-11111px;border-collapse:separate"; - tr.style.cssText = "border:1px solid"; - - // Support: Chrome 86+ - // Height set through cssText does not get applied. - // Computed height then comes back as 0. - tr.style.height = "1px"; - trChild.style.height = "9px"; - - // Support: Android 8 Chrome 86+ - // In our bodyBackground.html iframe, - // display for all div elements is set to "inline", - // which causes a problem only in Android 8 Chrome 86. - // Ensuring the div is display: block - // gets around this issue. - trChild.style.display = "block"; - - documentElement - .appendChild( table ) - .appendChild( tr ) - .appendChild( trChild ); - - trStyle = window.getComputedStyle( tr ); - reliableTrDimensionsVal = ( parseInt( trStyle.height, 10 ) + - parseInt( trStyle.borderTopWidth, 10 ) + - parseInt( trStyle.borderBottomWidth, 10 ) ) === tr.offsetHeight; - - documentElement.removeChild( table ); - } - return reliableTrDimensionsVal; - } - } ); -} )(); - - -function curCSS( elem, name, computed ) { - var width, minWidth, maxWidth, ret, - - // Support: Firefox 51+ - // Retrieving style before computed somehow - // fixes an issue with getting wrong values - // on detached elements - style = elem.style; - - computed = computed || getStyles( elem ); - - // getPropertyValue is needed for: - // .css('filter') (IE 9 only, #12537) - // .css('--customProperty) (#3144) - if ( computed ) { - ret = computed.getPropertyValue( name ) || computed[ name ]; - - if ( ret === "" && !isAttached( elem ) ) { - ret = jQuery.style( elem, name ); - } - - // A tribute to the "awesome hack by Dean Edwards" - // Android Browser returns percentage for some values, - // but width seems to be reliably pixels. - // This is against the CSSOM draft spec: - // https://drafts.csswg.org/cssom/#resolved-values - if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) { - - // Remember the original values - width = style.width; - minWidth = style.minWidth; - maxWidth = style.maxWidth; - - // Put in the new values to get a computed value out - style.minWidth = style.maxWidth = style.width = ret; - ret = computed.width; - - // Revert the changed values - style.width = width; - style.minWidth = minWidth; - style.maxWidth = maxWidth; - } - } - - return ret !== undefined ? - - // Support: IE <=9 - 11 only - // IE returns zIndex value as an integer. - ret + "" : - ret; -} - - -function addGetHookIf( conditionFn, hookFn ) { - - // Define the hook, we'll check on the first run if it's really needed. - return { - get: function() { - if ( conditionFn() ) { - - // Hook not needed (or it's not possible to use it due - // to missing dependency), remove it. - delete this.get; - return; - } - - // Hook needed; redefine it so that the support test is not executed again. - return ( this.get = hookFn ).apply( this, arguments ); - } - }; -} - - -var cssPrefixes = [ "Webkit", "Moz", "ms" ], - emptyStyle = document.createElement( "div" ).style, - vendorProps = {}; - -// Return a vendor-prefixed property or undefined -function vendorPropName( name ) { - - // Check for vendor prefixed names - var capName = name[ 0 ].toUpperCase() + name.slice( 1 ), - i = cssPrefixes.length; - - while ( i-- ) { - name = cssPrefixes[ i ] + capName; - if ( name in emptyStyle ) { - return name; - } - } -} - -// Return a potentially-mapped jQuery.cssProps or vendor prefixed property -function finalPropName( name ) { - var final = jQuery.cssProps[ name ] || vendorProps[ name ]; - - if ( final ) { - return final; - } - if ( name in emptyStyle ) { - return name; - } - return vendorProps[ name ] = vendorPropName( name ) || name; -} - - -var - - // Swappable if display is none or starts with table - // except "table", "table-cell", or "table-caption" - // See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display - rdisplayswap = /^(none|table(?!-c[ea]).+)/, - rcustomProp = /^--/, - cssShow = { position: "absolute", visibility: "hidden", display: "block" }, - cssNormalTransform = { - letterSpacing: "0", - fontWeight: "400" - }; - -function setPositiveNumber( _elem, value, subtract ) { - - // Any relative (+/-) values have already been - // normalized at this point - var matches = rcssNum.exec( value ); - return matches ? - - // Guard against undefined "subtract", e.g., when used as in cssHooks - Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) : - value; -} - -function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) { - var i = dimension === "width" ? 1 : 0, - extra = 0, - delta = 0; - - // Adjustment may not be necessary - if ( box === ( isBorderBox ? "border" : "content" ) ) { - return 0; - } - - for ( ; i < 4; i += 2 ) { - - // Both box models exclude margin - if ( box === "margin" ) { - delta += jQuery.css( elem, box + cssExpand[ i ], true, styles ); - } - - // If we get here with a content-box, we're seeking "padding" or "border" or "margin" - if ( !isBorderBox ) { - - // Add padding - delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); - - // For "border" or "margin", add border - if ( box !== "padding" ) { - delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); - - // But still keep track of it otherwise - } else { - extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); - } - - // If we get here with a border-box (content + padding + border), we're seeking "content" or - // "padding" or "margin" - } else { - - // For "content", subtract padding - if ( box === "content" ) { - delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); - } - - // For "content" or "padding", subtract border - if ( box !== "margin" ) { - delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); - } - } - } - - // Account for positive content-box scroll gutter when requested by providing computedVal - if ( !isBorderBox && computedVal >= 0 ) { - - // offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border - // Assuming integer scroll gutter, subtract the rest and round down - delta += Math.max( 0, Math.ceil( - elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - - computedVal - - delta - - extra - - 0.5 - - // If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter - // Use an explicit zero to avoid NaN (gh-3964) - ) ) || 0; - } - - return delta; -} - -function getWidthOrHeight( elem, dimension, extra ) { - - // Start with computed style - var styles = getStyles( elem ), - - // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322). - // Fake content-box until we know it's needed to know the true value. - boxSizingNeeded = !support.boxSizingReliable() || extra, - isBorderBox = boxSizingNeeded && - jQuery.css( elem, "boxSizing", false, styles ) === "border-box", - valueIsBorderBox = isBorderBox, - - val = curCSS( elem, dimension, styles ), - offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ); - - // Support: Firefox <=54 - // Return a confounding non-pixel value or feign ignorance, as appropriate. - if ( rnumnonpx.test( val ) ) { - if ( !extra ) { - return val; - } - val = "auto"; - } - - - // Support: IE 9 - 11 only - // Use offsetWidth/offsetHeight for when box sizing is unreliable. - // In those cases, the computed value can be trusted to be border-box. - if ( ( !support.boxSizingReliable() && isBorderBox || - - // Support: IE 10 - 11+, Edge 15 - 18+ - // IE/Edge misreport `getComputedStyle` of table rows with width/height - // set in CSS while `offset*` properties report correct values. - // Interestingly, in some cases IE 9 doesn't suffer from this issue. - !support.reliableTrDimensions() && nodeName( elem, "tr" ) || - - // Fall back to offsetWidth/offsetHeight when value is "auto" - // This happens for inline elements with no explicit setting (gh-3571) - val === "auto" || - - // Support: Android <=4.1 - 4.3 only - // Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602) - !parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) && - - // Make sure the element is visible & connected - elem.getClientRects().length ) { - - isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box"; - - // Where available, offsetWidth/offsetHeight approximate border box dimensions. - // Where not available (e.g., SVG), assume unreliable box-sizing and interpret the - // retrieved value as a content box dimension. - valueIsBorderBox = offsetProp in elem; - if ( valueIsBorderBox ) { - val = elem[ offsetProp ]; - } - } - - // Normalize "" and auto - val = parseFloat( val ) || 0; - - // Adjust for the element's box model - return ( val + - boxModelAdjustment( - elem, - dimension, - extra || ( isBorderBox ? "border" : "content" ), - valueIsBorderBox, - styles, - - // Provide the current computed size to request scroll gutter calculation (gh-3589) - val - ) - ) + "px"; -} - -jQuery.extend( { - - // Add in style property hooks for overriding the default - // behavior of getting and setting a style property - cssHooks: { - opacity: { - get: function( elem, computed ) { - if ( computed ) { - - // We should always get a number back from opacity - var ret = curCSS( elem, "opacity" ); - return ret === "" ? "1" : ret; - } - } - } - }, - - // Don't automatically add "px" to these possibly-unitless properties - cssNumber: { - "animationIterationCount": true, - "columnCount": true, - "fillOpacity": true, - "flexGrow": true, - "flexShrink": true, - "fontWeight": true, - "gridArea": true, - "gridColumn": true, - "gridColumnEnd": true, - "gridColumnStart": true, - "gridRow": true, - "gridRowEnd": true, - "gridRowStart": true, - "lineHeight": true, - "opacity": true, - "order": true, - "orphans": true, - "widows": true, - "zIndex": true, - "zoom": true - }, - - // Add in properties whose names you wish to fix before - // setting or getting the value - cssProps: {}, - - // Get and set the style property on a DOM Node - style: function( elem, name, value, extra ) { - - // Don't set styles on text and comment nodes - if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) { - return; - } - - // Make sure that we're working with the right name - var ret, type, hooks, - origName = camelCase( name ), - isCustomProp = rcustomProp.test( name ), - style = elem.style; - - // Make sure that we're working with the right name. We don't - // want to query the value if it is a CSS custom property - // since they are user-defined. - if ( !isCustomProp ) { - name = finalPropName( origName ); - } - - // Gets hook for the prefixed version, then unprefixed version - hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; - - // Check if we're setting a value - if ( value !== undefined ) { - type = typeof value; - - // Convert "+=" or "-=" to relative numbers (#7345) - if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) { - value = adjustCSS( elem, name, ret ); - - // Fixes bug #9237 - type = "number"; - } - - // Make sure that null and NaN values aren't set (#7116) - if ( value == null || value !== value ) { - return; - } - - // If a number was passed in, add the unit (except for certain CSS properties) - // The isCustomProp check can be removed in jQuery 4.0 when we only auto-append - // "px" to a few hardcoded values. - if ( type === "number" && !isCustomProp ) { - value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" ); - } - - // background-* props affect original clone's values - if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) { - style[ name ] = "inherit"; - } - - // If a hook was provided, use that value, otherwise just set the specified value - if ( !hooks || !( "set" in hooks ) || - ( value = hooks.set( elem, value, extra ) ) !== undefined ) { - - if ( isCustomProp ) { - style.setProperty( name, value ); - } else { - style[ name ] = value; - } - } - - } else { - - // If a hook was provided get the non-computed value from there - if ( hooks && "get" in hooks && - ( ret = hooks.get( elem, false, extra ) ) !== undefined ) { - - return ret; - } - - // Otherwise just get the value from the style object - return style[ name ]; - } - }, - - css: function( elem, name, extra, styles ) { - var val, num, hooks, - origName = camelCase( name ), - isCustomProp = rcustomProp.test( name ); - - // Make sure that we're working with the right name. We don't - // want to modify the value if it is a CSS custom property - // since they are user-defined. - if ( !isCustomProp ) { - name = finalPropName( origName ); - } - - // Try prefixed name followed by the unprefixed name - hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; - - // If a hook was provided get the computed value from there - if ( hooks && "get" in hooks ) { - val = hooks.get( elem, true, extra ); - } - - // Otherwise, if a way to get the computed value exists, use that - if ( val === undefined ) { - val = curCSS( elem, name, styles ); - } - - // Convert "normal" to computed value - if ( val === "normal" && name in cssNormalTransform ) { - val = cssNormalTransform[ name ]; - } - - // Make numeric if forced or a qualifier was provided and val looks numeric - if ( extra === "" || extra ) { - num = parseFloat( val ); - return extra === true || isFinite( num ) ? num || 0 : val; - } - - return val; - } -} ); - -jQuery.each( [ "height", "width" ], function( _i, dimension ) { - jQuery.cssHooks[ dimension ] = { - get: function( elem, computed, extra ) { - if ( computed ) { - - // Certain elements can have dimension info if we invisibly show them - // but it must have a current display style that would benefit - return rdisplayswap.test( jQuery.css( elem, "display" ) ) && - - // Support: Safari 8+ - // Table columns in Safari have non-zero offsetWidth & zero - // getBoundingClientRect().width unless display is changed. - // Support: IE <=11 only - // Running getBoundingClientRect on a disconnected node - // in IE throws an error. - ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ? - swap( elem, cssShow, function() { - return getWidthOrHeight( elem, dimension, extra ); - } ) : - getWidthOrHeight( elem, dimension, extra ); - } - }, - - set: function( elem, value, extra ) { - var matches, - styles = getStyles( elem ), - - // Only read styles.position if the test has a chance to fail - // to avoid forcing a reflow. - scrollboxSizeBuggy = !support.scrollboxSize() && - styles.position === "absolute", - - // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991) - boxSizingNeeded = scrollboxSizeBuggy || extra, - isBorderBox = boxSizingNeeded && - jQuery.css( elem, "boxSizing", false, styles ) === "border-box", - subtract = extra ? - boxModelAdjustment( - elem, - dimension, - extra, - isBorderBox, - styles - ) : - 0; - - // Account for unreliable border-box dimensions by comparing offset* to computed and - // faking a content-box to get border and padding (gh-3699) - if ( isBorderBox && scrollboxSizeBuggy ) { - subtract -= Math.ceil( - elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - - parseFloat( styles[ dimension ] ) - - boxModelAdjustment( elem, dimension, "border", false, styles ) - - 0.5 - ); - } - - // Convert to pixels if value adjustment is needed - if ( subtract && ( matches = rcssNum.exec( value ) ) && - ( matches[ 3 ] || "px" ) !== "px" ) { - - elem.style[ dimension ] = value; - value = jQuery.css( elem, dimension ); - } - - return setPositiveNumber( elem, value, subtract ); - } - }; -} ); - -jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft, - function( elem, computed ) { - if ( computed ) { - return ( parseFloat( curCSS( elem, "marginLeft" ) ) || - elem.getBoundingClientRect().left - - swap( elem, { marginLeft: 0 }, function() { - return elem.getBoundingClientRect().left; - } ) - ) + "px"; - } - } -); - -// These hooks are used by animate to expand properties -jQuery.each( { - margin: "", - padding: "", - border: "Width" -}, function( prefix, suffix ) { - jQuery.cssHooks[ prefix + suffix ] = { - expand: function( value ) { - var i = 0, - expanded = {}, - - // Assumes a single number if not a string - parts = typeof value === "string" ? value.split( " " ) : [ value ]; - - for ( ; i < 4; i++ ) { - expanded[ prefix + cssExpand[ i ] + suffix ] = - parts[ i ] || parts[ i - 2 ] || parts[ 0 ]; - } - - return expanded; - } - }; - - if ( prefix !== "margin" ) { - jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber; - } -} ); - -jQuery.fn.extend( { - css: function( name, value ) { - return access( this, function( elem, name, value ) { - var styles, len, - map = {}, - i = 0; - - if ( Array.isArray( name ) ) { - styles = getStyles( elem ); - len = name.length; - - for ( ; i < len; i++ ) { - map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles ); - } - - return map; - } - - return value !== undefined ? - jQuery.style( elem, name, value ) : - jQuery.css( elem, name ); - }, name, value, arguments.length > 1 ); - } -} ); - - -function Tween( elem, options, prop, end, easing ) { - return new Tween.prototype.init( elem, options, prop, end, easing ); -} -jQuery.Tween = Tween; - -Tween.prototype = { - constructor: Tween, - init: function( elem, options, prop, end, easing, unit ) { - this.elem = elem; - this.prop = prop; - this.easing = easing || jQuery.easing._default; - this.options = options; - this.start = this.now = this.cur(); - this.end = end; - this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" ); - }, - cur: function() { - var hooks = Tween.propHooks[ this.prop ]; - - return hooks && hooks.get ? - hooks.get( this ) : - Tween.propHooks._default.get( this ); - }, - run: function( percent ) { - var eased, - hooks = Tween.propHooks[ this.prop ]; - - if ( this.options.duration ) { - this.pos = eased = jQuery.easing[ this.easing ]( - percent, this.options.duration * percent, 0, 1, this.options.duration - ); - } else { - this.pos = eased = percent; - } - this.now = ( this.end - this.start ) * eased + this.start; - - if ( this.options.step ) { - this.options.step.call( this.elem, this.now, this ); - } - - if ( hooks && hooks.set ) { - hooks.set( this ); - } else { - Tween.propHooks._default.set( this ); - } - return this; - } -}; - -Tween.prototype.init.prototype = Tween.prototype; - -Tween.propHooks = { - _default: { - get: function( tween ) { - var result; - - // Use a property on the element directly when it is not a DOM element, - // or when there is no matching style property that exists. - if ( tween.elem.nodeType !== 1 || - tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) { - return tween.elem[ tween.prop ]; - } - - // Passing an empty string as a 3rd parameter to .css will automatically - // attempt a parseFloat and fallback to a string if the parse fails. - // Simple values such as "10px" are parsed to Float; - // complex values such as "rotate(1rad)" are returned as-is. - result = jQuery.css( tween.elem, tween.prop, "" ); - - // Empty strings, null, undefined and "auto" are converted to 0. - return !result || result === "auto" ? 0 : result; - }, - set: function( tween ) { - - // Use step hook for back compat. - // Use cssHook if its there. - // Use .style if available and use plain properties where available. - if ( jQuery.fx.step[ tween.prop ] ) { - jQuery.fx.step[ tween.prop ]( tween ); - } else if ( tween.elem.nodeType === 1 && ( - jQuery.cssHooks[ tween.prop ] || - tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) { - jQuery.style( tween.elem, tween.prop, tween.now + tween.unit ); - } else { - tween.elem[ tween.prop ] = tween.now; - } - } - } -}; - -// Support: IE <=9 only -// Panic based approach to setting things on disconnected nodes -Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = { - set: function( tween ) { - if ( tween.elem.nodeType && tween.elem.parentNode ) { - tween.elem[ tween.prop ] = tween.now; - } - } -}; - -jQuery.easing = { - linear: function( p ) { - return p; - }, - swing: function( p ) { - return 0.5 - Math.cos( p * Math.PI ) / 2; - }, - _default: "swing" -}; - -jQuery.fx = Tween.prototype.init; - -// Back compat <1.8 extension point -jQuery.fx.step = {}; - - - - -var - fxNow, inProgress, - rfxtypes = /^(?:toggle|show|hide)$/, - rrun = /queueHooks$/; - -function schedule() { - if ( inProgress ) { - if ( document.hidden === false && window.requestAnimationFrame ) { - window.requestAnimationFrame( schedule ); - } else { - window.setTimeout( schedule, jQuery.fx.interval ); - } - - jQuery.fx.tick(); - } -} - -// Animations created synchronously will run synchronously -function createFxNow() { - window.setTimeout( function() { - fxNow = undefined; - } ); - return ( fxNow = Date.now() ); -} - -// Generate parameters to create a standard animation -function genFx( type, includeWidth ) { - var which, - i = 0, - attrs = { height: type }; - - // If we include width, step value is 1 to do all cssExpand values, - // otherwise step value is 2 to skip over Left and Right - includeWidth = includeWidth ? 1 : 0; - for ( ; i < 4; i += 2 - includeWidth ) { - which = cssExpand[ i ]; - attrs[ "margin" + which ] = attrs[ "padding" + which ] = type; - } - - if ( includeWidth ) { - attrs.opacity = attrs.width = type; - } - - return attrs; -} - -function createTween( value, prop, animation ) { - var tween, - collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ), - index = 0, - length = collection.length; - for ( ; index < length; index++ ) { - if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) { - - // We're done with this property - return tween; - } - } -} - -function defaultPrefilter( elem, props, opts ) { - var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display, - isBox = "width" in props || "height" in props, - anim = this, - orig = {}, - style = elem.style, - hidden = elem.nodeType && isHiddenWithinTree( elem ), - dataShow = dataPriv.get( elem, "fxshow" ); - - // Queue-skipping animations hijack the fx hooks - if ( !opts.queue ) { - hooks = jQuery._queueHooks( elem, "fx" ); - if ( hooks.unqueued == null ) { - hooks.unqueued = 0; - oldfire = hooks.empty.fire; - hooks.empty.fire = function() { - if ( !hooks.unqueued ) { - oldfire(); - } - }; - } - hooks.unqueued++; - - anim.always( function() { - - // Ensure the complete handler is called before this completes - anim.always( function() { - hooks.unqueued--; - if ( !jQuery.queue( elem, "fx" ).length ) { - hooks.empty.fire(); - } - } ); - } ); - } - - // Detect show/hide animations - for ( prop in props ) { - value = props[ prop ]; - if ( rfxtypes.test( value ) ) { - delete props[ prop ]; - toggle = toggle || value === "toggle"; - if ( value === ( hidden ? "hide" : "show" ) ) { - - // Pretend to be hidden if this is a "show" and - // there is still data from a stopped show/hide - if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) { - hidden = true; - - // Ignore all other no-op show/hide data - } else { - continue; - } - } - orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop ); - } - } - - // Bail out if this is a no-op like .hide().hide() - propTween = !jQuery.isEmptyObject( props ); - if ( !propTween && jQuery.isEmptyObject( orig ) ) { - return; - } - - // Restrict "overflow" and "display" styles during box animations - if ( isBox && elem.nodeType === 1 ) { - - // Support: IE <=9 - 11, Edge 12 - 15 - // Record all 3 overflow attributes because IE does not infer the shorthand - // from identically-valued overflowX and overflowY and Edge just mirrors - // the overflowX value there. - opts.overflow = [ style.overflow, style.overflowX, style.overflowY ]; - - // Identify a display type, preferring old show/hide data over the CSS cascade - restoreDisplay = dataShow && dataShow.display; - if ( restoreDisplay == null ) { - restoreDisplay = dataPriv.get( elem, "display" ); - } - display = jQuery.css( elem, "display" ); - if ( display === "none" ) { - if ( restoreDisplay ) { - display = restoreDisplay; - } else { - - // Get nonempty value(s) by temporarily forcing visibility - showHide( [ elem ], true ); - restoreDisplay = elem.style.display || restoreDisplay; - display = jQuery.css( elem, "display" ); - showHide( [ elem ] ); - } - } - - // Animate inline elements as inline-block - if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) { - if ( jQuery.css( elem, "float" ) === "none" ) { - - // Restore the original display value at the end of pure show/hide animations - if ( !propTween ) { - anim.done( function() { - style.display = restoreDisplay; - } ); - if ( restoreDisplay == null ) { - display = style.display; - restoreDisplay = display === "none" ? "" : display; - } - } - style.display = "inline-block"; - } - } - } - - if ( opts.overflow ) { - style.overflow = "hidden"; - anim.always( function() { - style.overflow = opts.overflow[ 0 ]; - style.overflowX = opts.overflow[ 1 ]; - style.overflowY = opts.overflow[ 2 ]; - } ); - } - - // Implement show/hide animations - propTween = false; - for ( prop in orig ) { - - // General show/hide setup for this element animation - if ( !propTween ) { - if ( dataShow ) { - if ( "hidden" in dataShow ) { - hidden = dataShow.hidden; - } - } else { - dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } ); - } - - // Store hidden/visible for toggle so `.stop().toggle()` "reverses" - if ( toggle ) { - dataShow.hidden = !hidden; - } - - // Show elements before animating them - if ( hidden ) { - showHide( [ elem ], true ); - } - - /* eslint-disable no-loop-func */ - - anim.done( function() { - - /* eslint-enable no-loop-func */ - - // The final step of a "hide" animation is actually hiding the element - if ( !hidden ) { - showHide( [ elem ] ); - } - dataPriv.remove( elem, "fxshow" ); - for ( prop in orig ) { - jQuery.style( elem, prop, orig[ prop ] ); - } - } ); - } - - // Per-property setup - propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim ); - if ( !( prop in dataShow ) ) { - dataShow[ prop ] = propTween.start; - if ( hidden ) { - propTween.end = propTween.start; - propTween.start = 0; - } - } - } -} - -function propFilter( props, specialEasing ) { - var index, name, easing, value, hooks; - - // camelCase, specialEasing and expand cssHook pass - for ( index in props ) { - name = camelCase( index ); - easing = specialEasing[ name ]; - value = props[ index ]; - if ( Array.isArray( value ) ) { - easing = value[ 1 ]; - value = props[ index ] = value[ 0 ]; - } - - if ( index !== name ) { - props[ name ] = value; - delete props[ index ]; - } - - hooks = jQuery.cssHooks[ name ]; - if ( hooks && "expand" in hooks ) { - value = hooks.expand( value ); - delete props[ name ]; - - // Not quite $.extend, this won't overwrite existing keys. - // Reusing 'index' because we have the correct "name" - for ( index in value ) { - if ( !( index in props ) ) { - props[ index ] = value[ index ]; - specialEasing[ index ] = easing; - } - } - } else { - specialEasing[ name ] = easing; - } - } -} - -function Animation( elem, properties, options ) { - var result, - stopped, - index = 0, - length = Animation.prefilters.length, - deferred = jQuery.Deferred().always( function() { - - // Don't match elem in the :animated selector - delete tick.elem; - } ), - tick = function() { - if ( stopped ) { - return false; - } - var currentTime = fxNow || createFxNow(), - remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ), - - // Support: Android 2.3 only - // Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497) - temp = remaining / animation.duration || 0, - percent = 1 - temp, - index = 0, - length = animation.tweens.length; - - for ( ; index < length; index++ ) { - animation.tweens[ index ].run( percent ); - } - - deferred.notifyWith( elem, [ animation, percent, remaining ] ); - - // If there's more to do, yield - if ( percent < 1 && length ) { - return remaining; - } - - // If this was an empty animation, synthesize a final progress notification - if ( !length ) { - deferred.notifyWith( elem, [ animation, 1, 0 ] ); - } - - // Resolve the animation and report its conclusion - deferred.resolveWith( elem, [ animation ] ); - return false; - }, - animation = deferred.promise( { - elem: elem, - props: jQuery.extend( {}, properties ), - opts: jQuery.extend( true, { - specialEasing: {}, - easing: jQuery.easing._default - }, options ), - originalProperties: properties, - originalOptions: options, - startTime: fxNow || createFxNow(), - duration: options.duration, - tweens: [], - createTween: function( prop, end ) { - var tween = jQuery.Tween( elem, animation.opts, prop, end, - animation.opts.specialEasing[ prop ] || animation.opts.easing ); - animation.tweens.push( tween ); - return tween; - }, - stop: function( gotoEnd ) { - var index = 0, - - // If we are going to the end, we want to run all the tweens - // otherwise we skip this part - length = gotoEnd ? animation.tweens.length : 0; - if ( stopped ) { - return this; - } - stopped = true; - for ( ; index < length; index++ ) { - animation.tweens[ index ].run( 1 ); - } - - // Resolve when we played the last frame; otherwise, reject - if ( gotoEnd ) { - deferred.notifyWith( elem, [ animation, 1, 0 ] ); - deferred.resolveWith( elem, [ animation, gotoEnd ] ); - } else { - deferred.rejectWith( elem, [ animation, gotoEnd ] ); - } - return this; - } - } ), - props = animation.props; - - propFilter( props, animation.opts.specialEasing ); - - for ( ; index < length; index++ ) { - result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts ); - if ( result ) { - if ( isFunction( result.stop ) ) { - jQuery._queueHooks( animation.elem, animation.opts.queue ).stop = - result.stop.bind( result ); - } - return result; - } - } - - jQuery.map( props, createTween, animation ); - - if ( isFunction( animation.opts.start ) ) { - animation.opts.start.call( elem, animation ); - } - - // Attach callbacks from options - animation - .progress( animation.opts.progress ) - .done( animation.opts.done, animation.opts.complete ) - .fail( animation.opts.fail ) - .always( animation.opts.always ); - - jQuery.fx.timer( - jQuery.extend( tick, { - elem: elem, - anim: animation, - queue: animation.opts.queue - } ) - ); - - return animation; -} - -jQuery.Animation = jQuery.extend( Animation, { - - tweeners: { - "*": [ function( prop, value ) { - var tween = this.createTween( prop, value ); - adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween ); - return tween; - } ] - }, - - tweener: function( props, callback ) { - if ( isFunction( props ) ) { - callback = props; - props = [ "*" ]; - } else { - props = props.match( rnothtmlwhite ); - } - - var prop, - index = 0, - length = props.length; - - for ( ; index < length; index++ ) { - prop = props[ index ]; - Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || []; - Animation.tweeners[ prop ].unshift( callback ); - } - }, - - prefilters: [ defaultPrefilter ], - - prefilter: function( callback, prepend ) { - if ( prepend ) { - Animation.prefilters.unshift( callback ); - } else { - Animation.prefilters.push( callback ); - } - } -} ); - -jQuery.speed = function( speed, easing, fn ) { - var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : { - complete: fn || !fn && easing || - isFunction( speed ) && speed, - duration: speed, - easing: fn && easing || easing && !isFunction( easing ) && easing - }; - - // Go to the end state if fx are off - if ( jQuery.fx.off ) { - opt.duration = 0; - - } else { - if ( typeof opt.duration !== "number" ) { - if ( opt.duration in jQuery.fx.speeds ) { - opt.duration = jQuery.fx.speeds[ opt.duration ]; - - } else { - opt.duration = jQuery.fx.speeds._default; - } - } - } - - // Normalize opt.queue - true/undefined/null -> "fx" - if ( opt.queue == null || opt.queue === true ) { - opt.queue = "fx"; - } - - // Queueing - opt.old = opt.complete; - - opt.complete = function() { - if ( isFunction( opt.old ) ) { - opt.old.call( this ); - } - - if ( opt.queue ) { - jQuery.dequeue( this, opt.queue ); - } - }; - - return opt; -}; - -jQuery.fn.extend( { - fadeTo: function( speed, to, easing, callback ) { - - // Show any hidden elements after setting opacity to 0 - return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show() - - // Animate to the value specified - .end().animate( { opacity: to }, speed, easing, callback ); - }, - animate: function( prop, speed, easing, callback ) { - var empty = jQuery.isEmptyObject( prop ), - optall = jQuery.speed( speed, easing, callback ), - doAnimation = function() { - - // Operate on a copy of prop so per-property easing won't be lost - var anim = Animation( this, jQuery.extend( {}, prop ), optall ); - - // Empty animations, or finishing resolves immediately - if ( empty || dataPriv.get( this, "finish" ) ) { - anim.stop( true ); - } - }; - - doAnimation.finish = doAnimation; - - return empty || optall.queue === false ? - this.each( doAnimation ) : - this.queue( optall.queue, doAnimation ); - }, - stop: function( type, clearQueue, gotoEnd ) { - var stopQueue = function( hooks ) { - var stop = hooks.stop; - delete hooks.stop; - stop( gotoEnd ); - }; - - if ( typeof type !== "string" ) { - gotoEnd = clearQueue; - clearQueue = type; - type = undefined; - } - if ( clearQueue ) { - this.queue( type || "fx", [] ); - } - - return this.each( function() { - var dequeue = true, - index = type != null && type + "queueHooks", - timers = jQuery.timers, - data = dataPriv.get( this ); - - if ( index ) { - if ( data[ index ] && data[ index ].stop ) { - stopQueue( data[ index ] ); - } - } else { - for ( index in data ) { - if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) { - stopQueue( data[ index ] ); - } - } - } - - for ( index = timers.length; index--; ) { - if ( timers[ index ].elem === this && - ( type == null || timers[ index ].queue === type ) ) { - - timers[ index ].anim.stop( gotoEnd ); - dequeue = false; - timers.splice( index, 1 ); - } - } - - // Start the next in the queue if the last step wasn't forced. - // Timers currently will call their complete callbacks, which - // will dequeue but only if they were gotoEnd. - if ( dequeue || !gotoEnd ) { - jQuery.dequeue( this, type ); - } - } ); - }, - finish: function( type ) { - if ( type !== false ) { - type = type || "fx"; - } - return this.each( function() { - var index, - data = dataPriv.get( this ), - queue = data[ type + "queue" ], - hooks = data[ type + "queueHooks" ], - timers = jQuery.timers, - length = queue ? queue.length : 0; - - // Enable finishing flag on private data - data.finish = true; - - // Empty the queue first - jQuery.queue( this, type, [] ); - - if ( hooks && hooks.stop ) { - hooks.stop.call( this, true ); - } - - // Look for any active animations, and finish them - for ( index = timers.length; index--; ) { - if ( timers[ index ].elem === this && timers[ index ].queue === type ) { - timers[ index ].anim.stop( true ); - timers.splice( index, 1 ); - } - } - - // Look for any animations in the old queue and finish them - for ( index = 0; index < length; index++ ) { - if ( queue[ index ] && queue[ index ].finish ) { - queue[ index ].finish.call( this ); - } - } - - // Turn off finishing flag - delete data.finish; - } ); - } -} ); - -jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) { - var cssFn = jQuery.fn[ name ]; - jQuery.fn[ name ] = function( speed, easing, callback ) { - return speed == null || typeof speed === "boolean" ? - cssFn.apply( this, arguments ) : - this.animate( genFx( name, true ), speed, easing, callback ); - }; -} ); - -// Generate shortcuts for custom animations -jQuery.each( { - slideDown: genFx( "show" ), - slideUp: genFx( "hide" ), - slideToggle: genFx( "toggle" ), - fadeIn: { opacity: "show" }, - fadeOut: { opacity: "hide" }, - fadeToggle: { opacity: "toggle" } -}, function( name, props ) { - jQuery.fn[ name ] = function( speed, easing, callback ) { - return this.animate( props, speed, easing, callback ); - }; -} ); - -jQuery.timers = []; -jQuery.fx.tick = function() { - var timer, - i = 0, - timers = jQuery.timers; - - fxNow = Date.now(); - - for ( ; i < timers.length; i++ ) { - timer = timers[ i ]; - - // Run the timer and safely remove it when done (allowing for external removal) - if ( !timer() && timers[ i ] === timer ) { - timers.splice( i--, 1 ); - } - } - - if ( !timers.length ) { - jQuery.fx.stop(); - } - fxNow = undefined; -}; - -jQuery.fx.timer = function( timer ) { - jQuery.timers.push( timer ); - jQuery.fx.start(); -}; - -jQuery.fx.interval = 13; -jQuery.fx.start = function() { - if ( inProgress ) { - return; - } - - inProgress = true; - schedule(); -}; - -jQuery.fx.stop = function() { - inProgress = null; -}; - -jQuery.fx.speeds = { - slow: 600, - fast: 200, - - // Default speed - _default: 400 -}; - - -// Based off of the plugin by Clint Helfers, with permission. -// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/ -jQuery.fn.delay = function( time, type ) { - time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time; - type = type || "fx"; - - return this.queue( type, function( next, hooks ) { - var timeout = window.setTimeout( next, time ); - hooks.stop = function() { - window.clearTimeout( timeout ); - }; - } ); -}; - - -( function() { - var input = document.createElement( "input" ), - select = document.createElement( "select" ), - opt = select.appendChild( document.createElement( "option" ) ); - - input.type = "checkbox"; - - // Support: Android <=4.3 only - // Default value for a checkbox should be "on" - support.checkOn = input.value !== ""; - - // Support: IE <=11 only - // Must access selectedIndex to make default options select - support.optSelected = opt.selected; - - // Support: IE <=11 only - // An input loses its value after becoming a radio - input = document.createElement( "input" ); - input.value = "t"; - input.type = "radio"; - support.radioValue = input.value === "t"; -} )(); - - -var boolHook, - attrHandle = jQuery.expr.attrHandle; - -jQuery.fn.extend( { - attr: function( name, value ) { - return access( this, jQuery.attr, name, value, arguments.length > 1 ); - }, - - removeAttr: function( name ) { - return this.each( function() { - jQuery.removeAttr( this, name ); - } ); - } -} ); - -jQuery.extend( { - attr: function( elem, name, value ) { - var ret, hooks, - nType = elem.nodeType; - - // Don't get/set attributes on text, comment and attribute nodes - if ( nType === 3 || nType === 8 || nType === 2 ) { - return; - } - - // Fallback to prop when attributes are not supported - if ( typeof elem.getAttribute === "undefined" ) { - return jQuery.prop( elem, name, value ); - } - - // Attribute hooks are determined by the lowercase version - // Grab necessary hook if one is defined - if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { - hooks = jQuery.attrHooks[ name.toLowerCase() ] || - ( jQuery.expr.match.bool.test( name ) ? boolHook : undefined ); - } - - if ( value !== undefined ) { - if ( value === null ) { - jQuery.removeAttr( elem, name ); - return; - } - - if ( hooks && "set" in hooks && - ( ret = hooks.set( elem, value, name ) ) !== undefined ) { - return ret; - } - - elem.setAttribute( name, value + "" ); - return value; - } - - if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { - return ret; - } - - ret = jQuery.find.attr( elem, name ); - - // Non-existent attributes return null, we normalize to undefined - return ret == null ? undefined : ret; - }, - - attrHooks: { - type: { - set: function( elem, value ) { - if ( !support.radioValue && value === "radio" && - nodeName( elem, "input" ) ) { - var val = elem.value; - elem.setAttribute( "type", value ); - if ( val ) { - elem.value = val; - } - return value; - } - } - } - }, - - removeAttr: function( elem, value ) { - var name, - i = 0, - - // Attribute names can contain non-HTML whitespace characters - // https://html.spec.whatwg.org/multipage/syntax.html#attributes-2 - attrNames = value && value.match( rnothtmlwhite ); - - if ( attrNames && elem.nodeType === 1 ) { - while ( ( name = attrNames[ i++ ] ) ) { - elem.removeAttribute( name ); - } - } - } -} ); - -// Hooks for boolean attributes -boolHook = { - set: function( elem, value, name ) { - if ( value === false ) { - - // Remove boolean attributes when set to false - jQuery.removeAttr( elem, name ); - } else { - elem.setAttribute( name, name ); - } - return name; - } -}; - -jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) { - var getter = attrHandle[ name ] || jQuery.find.attr; - - attrHandle[ name ] = function( elem, name, isXML ) { - var ret, handle, - lowercaseName = name.toLowerCase(); - - if ( !isXML ) { - - // Avoid an infinite loop by temporarily removing this function from the getter - handle = attrHandle[ lowercaseName ]; - attrHandle[ lowercaseName ] = ret; - ret = getter( elem, name, isXML ) != null ? - lowercaseName : - null; - attrHandle[ lowercaseName ] = handle; - } - return ret; - }; -} ); - - - - -var rfocusable = /^(?:input|select|textarea|button)$/i, - rclickable = /^(?:a|area)$/i; - -jQuery.fn.extend( { - prop: function( name, value ) { - return access( this, jQuery.prop, name, value, arguments.length > 1 ); - }, - - removeProp: function( name ) { - return this.each( function() { - delete this[ jQuery.propFix[ name ] || name ]; - } ); - } -} ); - -jQuery.extend( { - prop: function( elem, name, value ) { - var ret, hooks, - nType = elem.nodeType; - - // Don't get/set properties on text, comment and attribute nodes - if ( nType === 3 || nType === 8 || nType === 2 ) { - return; - } - - if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { - - // Fix name and attach hooks - name = jQuery.propFix[ name ] || name; - hooks = jQuery.propHooks[ name ]; - } - - if ( value !== undefined ) { - if ( hooks && "set" in hooks && - ( ret = hooks.set( elem, value, name ) ) !== undefined ) { - return ret; - } - - return ( elem[ name ] = value ); - } - - if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { - return ret; - } - - return elem[ name ]; - }, - - propHooks: { - tabIndex: { - get: function( elem ) { - - // Support: IE <=9 - 11 only - // elem.tabIndex doesn't always return the - // correct value when it hasn't been explicitly set - // https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/ - // Use proper attribute retrieval(#12072) - var tabindex = jQuery.find.attr( elem, "tabindex" ); - - if ( tabindex ) { - return parseInt( tabindex, 10 ); - } - - if ( - rfocusable.test( elem.nodeName ) || - rclickable.test( elem.nodeName ) && - elem.href - ) { - return 0; - } - - return -1; - } - } - }, - - propFix: { - "for": "htmlFor", - "class": "className" - } -} ); - -// Support: IE <=11 only -// Accessing the selectedIndex property -// forces the browser to respect setting selected -// on the option -// The getter ensures a default option is selected -// when in an optgroup -// eslint rule "no-unused-expressions" is disabled for this code -// since it considers such accessions noop -if ( !support.optSelected ) { - jQuery.propHooks.selected = { - get: function( elem ) { - - /* eslint no-unused-expressions: "off" */ - - var parent = elem.parentNode; - if ( parent && parent.parentNode ) { - parent.parentNode.selectedIndex; - } - return null; - }, - set: function( elem ) { - - /* eslint no-unused-expressions: "off" */ - - var parent = elem.parentNode; - if ( parent ) { - parent.selectedIndex; - - if ( parent.parentNode ) { - parent.parentNode.selectedIndex; - } - } - } - }; -} - -jQuery.each( [ - "tabIndex", - "readOnly", - "maxLength", - "cellSpacing", - "cellPadding", - "rowSpan", - "colSpan", - "useMap", - "frameBorder", - "contentEditable" -], function() { - jQuery.propFix[ this.toLowerCase() ] = this; -} ); - - - - - // Strip and collapse whitespace according to HTML spec - // https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace - function stripAndCollapse( value ) { - var tokens = value.match( rnothtmlwhite ) || []; - return tokens.join( " " ); - } - - -function getClass( elem ) { - return elem.getAttribute && elem.getAttribute( "class" ) || ""; -} - -function classesToArray( value ) { - if ( Array.isArray( value ) ) { - return value; - } - if ( typeof value === "string" ) { - return value.match( rnothtmlwhite ) || []; - } - return []; -} - -jQuery.fn.extend( { - addClass: function( value ) { - var classes, elem, cur, curValue, clazz, j, finalValue, - i = 0; - - if ( isFunction( value ) ) { - return this.each( function( j ) { - jQuery( this ).addClass( value.call( this, j, getClass( this ) ) ); - } ); - } - - classes = classesToArray( value ); - - if ( classes.length ) { - while ( ( elem = this[ i++ ] ) ) { - curValue = getClass( elem ); - cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); - - if ( cur ) { - j = 0; - while ( ( clazz = classes[ j++ ] ) ) { - if ( cur.indexOf( " " + clazz + " " ) < 0 ) { - cur += clazz + " "; - } - } - - // Only assign if different to avoid unneeded rendering. - finalValue = stripAndCollapse( cur ); - if ( curValue !== finalValue ) { - elem.setAttribute( "class", finalValue ); - } - } - } - } - - return this; - }, - - removeClass: function( value ) { - var classes, elem, cur, curValue, clazz, j, finalValue, - i = 0; - - if ( isFunction( value ) ) { - return this.each( function( j ) { - jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) ); - } ); - } - - if ( !arguments.length ) { - return this.attr( "class", "" ); - } - - classes = classesToArray( value ); - - if ( classes.length ) { - while ( ( elem = this[ i++ ] ) ) { - curValue = getClass( elem ); - - // This expression is here for better compressibility (see addClass) - cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); - - if ( cur ) { - j = 0; - while ( ( clazz = classes[ j++ ] ) ) { - - // Remove *all* instances - while ( cur.indexOf( " " + clazz + " " ) > -1 ) { - cur = cur.replace( " " + clazz + " ", " " ); - } - } - - // Only assign if different to avoid unneeded rendering. - finalValue = stripAndCollapse( cur ); - if ( curValue !== finalValue ) { - elem.setAttribute( "class", finalValue ); - } - } - } - } - - return this; - }, - - toggleClass: function( value, stateVal ) { - var type = typeof value, - isValidValue = type === "string" || Array.isArray( value ); - - if ( typeof stateVal === "boolean" && isValidValue ) { - return stateVal ? this.addClass( value ) : this.removeClass( value ); - } - - if ( isFunction( value ) ) { - return this.each( function( i ) { - jQuery( this ).toggleClass( - value.call( this, i, getClass( this ), stateVal ), - stateVal - ); - } ); - } - - return this.each( function() { - var className, i, self, classNames; - - if ( isValidValue ) { - - // Toggle individual class names - i = 0; - self = jQuery( this ); - classNames = classesToArray( value ); - - while ( ( className = classNames[ i++ ] ) ) { - - // Check each className given, space separated list - if ( self.hasClass( className ) ) { - self.removeClass( className ); - } else { - self.addClass( className ); - } - } - - // Toggle whole class name - } else if ( value === undefined || type === "boolean" ) { - className = getClass( this ); - if ( className ) { - - // Store className if set - dataPriv.set( this, "__className__", className ); - } - - // If the element has a class name or if we're passed `false`, - // then remove the whole classname (if there was one, the above saved it). - // Otherwise bring back whatever was previously saved (if anything), - // falling back to the empty string if nothing was stored. - if ( this.setAttribute ) { - this.setAttribute( "class", - className || value === false ? - "" : - dataPriv.get( this, "__className__" ) || "" - ); - } - } - } ); - }, - - hasClass: function( selector ) { - var className, elem, - i = 0; - - className = " " + selector + " "; - while ( ( elem = this[ i++ ] ) ) { - if ( elem.nodeType === 1 && - ( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) { - return true; - } - } - - return false; - } -} ); - - - - -var rreturn = /\r/g; - -jQuery.fn.extend( { - val: function( value ) { - var hooks, ret, valueIsFunction, - elem = this[ 0 ]; - - if ( !arguments.length ) { - if ( elem ) { - hooks = jQuery.valHooks[ elem.type ] || - jQuery.valHooks[ elem.nodeName.toLowerCase() ]; - - if ( hooks && - "get" in hooks && - ( ret = hooks.get( elem, "value" ) ) !== undefined - ) { - return ret; - } - - ret = elem.value; - - // Handle most common string cases - if ( typeof ret === "string" ) { - return ret.replace( rreturn, "" ); - } - - // Handle cases where value is null/undef or number - return ret == null ? "" : ret; - } - - return; - } - - valueIsFunction = isFunction( value ); - - return this.each( function( i ) { - var val; - - if ( this.nodeType !== 1 ) { - return; - } - - if ( valueIsFunction ) { - val = value.call( this, i, jQuery( this ).val() ); - } else { - val = value; - } - - // Treat null/undefined as ""; convert numbers to string - if ( val == null ) { - val = ""; - - } else if ( typeof val === "number" ) { - val += ""; - - } else if ( Array.isArray( val ) ) { - val = jQuery.map( val, function( value ) { - return value == null ? "" : value + ""; - } ); - } - - hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ]; - - // If set returns undefined, fall back to normal setting - if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) { - this.value = val; - } - } ); - } -} ); - -jQuery.extend( { - valHooks: { - option: { - get: function( elem ) { - - var val = jQuery.find.attr( elem, "value" ); - return val != null ? - val : - - // Support: IE <=10 - 11 only - // option.text throws exceptions (#14686, #14858) - // Strip and collapse whitespace - // https://html.spec.whatwg.org/#strip-and-collapse-whitespace - stripAndCollapse( jQuery.text( elem ) ); - } - }, - select: { - get: function( elem ) { - var value, option, i, - options = elem.options, - index = elem.selectedIndex, - one = elem.type === "select-one", - values = one ? null : [], - max = one ? index + 1 : options.length; - - if ( index < 0 ) { - i = max; - - } else { - i = one ? index : 0; - } - - // Loop through all the selected options - for ( ; i < max; i++ ) { - option = options[ i ]; - - // Support: IE <=9 only - // IE8-9 doesn't update selected after form reset (#2551) - if ( ( option.selected || i === index ) && - - // Don't return options that are disabled or in a disabled optgroup - !option.disabled && - ( !option.parentNode.disabled || - !nodeName( option.parentNode, "optgroup" ) ) ) { - - // Get the specific value for the option - value = jQuery( option ).val(); - - // We don't need an array for one selects - if ( one ) { - return value; - } - - // Multi-Selects return an array - values.push( value ); - } - } - - return values; - }, - - set: function( elem, value ) { - var optionSet, option, - options = elem.options, - values = jQuery.makeArray( value ), - i = options.length; - - while ( i-- ) { - option = options[ i ]; - - /* eslint-disable no-cond-assign */ - - if ( option.selected = - jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1 - ) { - optionSet = true; - } - - /* eslint-enable no-cond-assign */ - } - - // Force browsers to behave consistently when non-matching value is set - if ( !optionSet ) { - elem.selectedIndex = -1; - } - return values; - } - } - } -} ); - -// Radios and checkboxes getter/setter -jQuery.each( [ "radio", "checkbox" ], function() { - jQuery.valHooks[ this ] = { - set: function( elem, value ) { - if ( Array.isArray( value ) ) { - return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 ); - } - } - }; - if ( !support.checkOn ) { - jQuery.valHooks[ this ].get = function( elem ) { - return elem.getAttribute( "value" ) === null ? "on" : elem.value; - }; - } -} ); - - - - -// Return jQuery for attributes-only inclusion - - -support.focusin = "onfocusin" in window; - - -var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/, - stopPropagationCallback = function( e ) { - e.stopPropagation(); - }; - -jQuery.extend( jQuery.event, { - - trigger: function( event, data, elem, onlyHandlers ) { - - var i, cur, tmp, bubbleType, ontype, handle, special, lastElement, - eventPath = [ elem || document ], - type = hasOwn.call( event, "type" ) ? event.type : event, - namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : []; - - cur = lastElement = tmp = elem = elem || document; - - // Don't do events on text and comment nodes - if ( elem.nodeType === 3 || elem.nodeType === 8 ) { - return; - } - - // focus/blur morphs to focusin/out; ensure we're not firing them right now - if ( rfocusMorph.test( type + jQuery.event.triggered ) ) { - return; - } - - if ( type.indexOf( "." ) > -1 ) { - - // Namespaced trigger; create a regexp to match event type in handle() - namespaces = type.split( "." ); - type = namespaces.shift(); - namespaces.sort(); - } - ontype = type.indexOf( ":" ) < 0 && "on" + type; - - // Caller can pass in a jQuery.Event object, Object, or just an event type string - event = event[ jQuery.expando ] ? - event : - new jQuery.Event( type, typeof event === "object" && event ); - - // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true) - event.isTrigger = onlyHandlers ? 2 : 3; - event.namespace = namespaces.join( "." ); - event.rnamespace = event.namespace ? - new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) : - null; - - // Clean up the event in case it is being reused - event.result = undefined; - if ( !event.target ) { - event.target = elem; - } - - // Clone any incoming data and prepend the event, creating the handler arg list - data = data == null ? - [ event ] : - jQuery.makeArray( data, [ event ] ); - - // Allow special events to draw outside the lines - special = jQuery.event.special[ type ] || {}; - if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) { - return; - } - - // Determine event propagation path in advance, per W3C events spec (#9951) - // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) - if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) { - - bubbleType = special.delegateType || type; - if ( !rfocusMorph.test( bubbleType + type ) ) { - cur = cur.parentNode; - } - for ( ; cur; cur = cur.parentNode ) { - eventPath.push( cur ); - tmp = cur; - } - - // Only add window if we got to document (e.g., not plain obj or detached DOM) - if ( tmp === ( elem.ownerDocument || document ) ) { - eventPath.push( tmp.defaultView || tmp.parentWindow || window ); - } - } - - // Fire handlers on the event path - i = 0; - while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) { - lastElement = cur; - event.type = i > 1 ? - bubbleType : - special.bindType || type; - - // jQuery handler - handle = ( dataPriv.get( cur, "events" ) || Object.create( null ) )[ event.type ] && - dataPriv.get( cur, "handle" ); - if ( handle ) { - handle.apply( cur, data ); - } - - // Native handler - handle = ontype && cur[ ontype ]; - if ( handle && handle.apply && acceptData( cur ) ) { - event.result = handle.apply( cur, data ); - if ( event.result === false ) { - event.preventDefault(); - } - } - } - event.type = type; - - // If nobody prevented the default action, do it now - if ( !onlyHandlers && !event.isDefaultPrevented() ) { - - if ( ( !special._default || - special._default.apply( eventPath.pop(), data ) === false ) && - acceptData( elem ) ) { - - // Call a native DOM method on the target with the same name as the event. - // Don't do default actions on window, that's where global variables be (#6170) - if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) { - - // Don't re-trigger an onFOO event when we call its FOO() method - tmp = elem[ ontype ]; - - if ( tmp ) { - elem[ ontype ] = null; - } - - // Prevent re-triggering of the same event, since we already bubbled it above - jQuery.event.triggered = type; - - if ( event.isPropagationStopped() ) { - lastElement.addEventListener( type, stopPropagationCallback ); - } - - elem[ type ](); - - if ( event.isPropagationStopped() ) { - lastElement.removeEventListener( type, stopPropagationCallback ); - } - - jQuery.event.triggered = undefined; - - if ( tmp ) { - elem[ ontype ] = tmp; - } - } - } - } - - return event.result; - }, - - // Piggyback on a donor event to simulate a different one - // Used only for `focus(in | out)` events - simulate: function( type, elem, event ) { - var e = jQuery.extend( - new jQuery.Event(), - event, - { - type: type, - isSimulated: true - } - ); - - jQuery.event.trigger( e, null, elem ); - } - -} ); - -jQuery.fn.extend( { - - trigger: function( type, data ) { - return this.each( function() { - jQuery.event.trigger( type, data, this ); - } ); - }, - triggerHandler: function( type, data ) { - var elem = this[ 0 ]; - if ( elem ) { - return jQuery.event.trigger( type, data, elem, true ); - } - } -} ); - - -// Support: Firefox <=44 -// Firefox doesn't have focus(in | out) events -// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787 -// -// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1 -// focus(in | out) events fire after focus & blur events, -// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order -// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857 -if ( !support.focusin ) { - jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) { - - // Attach a single capturing handler on the document while someone wants focusin/focusout - var handler = function( event ) { - jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) ); - }; - - jQuery.event.special[ fix ] = { - setup: function() { - - // Handle: regular nodes (via `this.ownerDocument`), window - // (via `this.document`) & document (via `this`). - var doc = this.ownerDocument || this.document || this, - attaches = dataPriv.access( doc, fix ); - - if ( !attaches ) { - doc.addEventListener( orig, handler, true ); - } - dataPriv.access( doc, fix, ( attaches || 0 ) + 1 ); - }, - teardown: function() { - var doc = this.ownerDocument || this.document || this, - attaches = dataPriv.access( doc, fix ) - 1; - - if ( !attaches ) { - doc.removeEventListener( orig, handler, true ); - dataPriv.remove( doc, fix ); - - } else { - dataPriv.access( doc, fix, attaches ); - } - } - }; - } ); -} -var location = window.location; - -var nonce = { guid: Date.now() }; - -var rquery = ( /\?/ ); - - - -// Cross-browser xml parsing -jQuery.parseXML = function( data ) { - var xml, parserErrorElem; - if ( !data || typeof data !== "string" ) { - return null; - } - - // Support: IE 9 - 11 only - // IE throws on parseFromString with invalid input. - try { - xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" ); - } catch ( e ) {} - - parserErrorElem = xml && xml.getElementsByTagName( "parsererror" )[ 0 ]; - if ( !xml || parserErrorElem ) { - jQuery.error( "Invalid XML: " + ( - parserErrorElem ? - jQuery.map( parserErrorElem.childNodes, function( el ) { - return el.textContent; - } ).join( "\n" ) : - data - ) ); - } - return xml; -}; - - -var - rbracket = /\[\]$/, - rCRLF = /\r?\n/g, - rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i, - rsubmittable = /^(?:input|select|textarea|keygen)/i; - -function buildParams( prefix, obj, traditional, add ) { - var name; - - if ( Array.isArray( obj ) ) { - - // Serialize array item. - jQuery.each( obj, function( i, v ) { - if ( traditional || rbracket.test( prefix ) ) { - - // Treat each array item as a scalar. - add( prefix, v ); - - } else { - - // Item is non-scalar (array or object), encode its numeric index. - buildParams( - prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]", - v, - traditional, - add - ); - } - } ); - - } else if ( !traditional && toType( obj ) === "object" ) { - - // Serialize object item. - for ( name in obj ) { - buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add ); - } - - } else { - - // Serialize scalar item. - add( prefix, obj ); - } -} - -// Serialize an array of form elements or a set of -// key/values into a query string -jQuery.param = function( a, traditional ) { - var prefix, - s = [], - add = function( key, valueOrFunction ) { - - // If value is a function, invoke it and use its return value - var value = isFunction( valueOrFunction ) ? - valueOrFunction() : - valueOrFunction; - - s[ s.length ] = encodeURIComponent( key ) + "=" + - encodeURIComponent( value == null ? "" : value ); - }; - - if ( a == null ) { - return ""; - } - - // If an array was passed in, assume that it is an array of form elements. - if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) { - - // Serialize the form elements - jQuery.each( a, function() { - add( this.name, this.value ); - } ); - - } else { - - // If traditional, encode the "old" way (the way 1.3.2 or older - // did it), otherwise encode params recursively. - for ( prefix in a ) { - buildParams( prefix, a[ prefix ], traditional, add ); - } - } - - // Return the resulting serialization - return s.join( "&" ); -}; - -jQuery.fn.extend( { - serialize: function() { - return jQuery.param( this.serializeArray() ); - }, - serializeArray: function() { - return this.map( function() { - - // Can add propHook for "elements" to filter or add form elements - var elements = jQuery.prop( this, "elements" ); - return elements ? jQuery.makeArray( elements ) : this; - } ).filter( function() { - var type = this.type; - - // Use .is( ":disabled" ) so that fieldset[disabled] works - return this.name && !jQuery( this ).is( ":disabled" ) && - rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) && - ( this.checked || !rcheckableType.test( type ) ); - } ).map( function( _i, elem ) { - var val = jQuery( this ).val(); - - if ( val == null ) { - return null; - } - - if ( Array.isArray( val ) ) { - return jQuery.map( val, function( val ) { - return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; - } ); - } - - return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; - } ).get(); - } -} ); - - -var - r20 = /%20/g, - rhash = /#.*$/, - rantiCache = /([?&])_=[^&]*/, - rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg, - - // #7653, #8125, #8152: local protocol detection - rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/, - rnoContent = /^(?:GET|HEAD)$/, - rprotocol = /^\/\//, - - /* Prefilters - * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example) - * 2) These are called: - * - BEFORE asking for a transport - * - AFTER param serialization (s.data is a string if s.processData is true) - * 3) key is the dataType - * 4) the catchall symbol "*" can be used - * 5) execution will start with transport dataType and THEN continue down to "*" if needed - */ - prefilters = {}, - - /* Transports bindings - * 1) key is the dataType - * 2) the catchall symbol "*" can be used - * 3) selection will start with transport dataType and THEN go to "*" if needed - */ - transports = {}, - - // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression - allTypes = "*/".concat( "*" ), - - // Anchor tag for parsing the document origin - originAnchor = document.createElement( "a" ); - -originAnchor.href = location.href; - -// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport -function addToPrefiltersOrTransports( structure ) { - - // dataTypeExpression is optional and defaults to "*" - return function( dataTypeExpression, func ) { - - if ( typeof dataTypeExpression !== "string" ) { - func = dataTypeExpression; - dataTypeExpression = "*"; - } - - var dataType, - i = 0, - dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || []; - - if ( isFunction( func ) ) { - - // For each dataType in the dataTypeExpression - while ( ( dataType = dataTypes[ i++ ] ) ) { - - // Prepend if requested - if ( dataType[ 0 ] === "+" ) { - dataType = dataType.slice( 1 ) || "*"; - ( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func ); - - // Otherwise append - } else { - ( structure[ dataType ] = structure[ dataType ] || [] ).push( func ); - } - } - } - }; -} - -// Base inspection function for prefilters and transports -function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) { - - var inspected = {}, - seekingTransport = ( structure === transports ); - - function inspect( dataType ) { - var selected; - inspected[ dataType ] = true; - jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) { - var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR ); - if ( typeof dataTypeOrTransport === "string" && - !seekingTransport && !inspected[ dataTypeOrTransport ] ) { - - options.dataTypes.unshift( dataTypeOrTransport ); - inspect( dataTypeOrTransport ); - return false; - } else if ( seekingTransport ) { - return !( selected = dataTypeOrTransport ); - } - } ); - return selected; - } - - return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" ); -} - -// A special extend for ajax options -// that takes "flat" options (not to be deep extended) -// Fixes #9887 -function ajaxExtend( target, src ) { - var key, deep, - flatOptions = jQuery.ajaxSettings.flatOptions || {}; - - for ( key in src ) { - if ( src[ key ] !== undefined ) { - ( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ]; - } - } - if ( deep ) { - jQuery.extend( true, target, deep ); - } - - return target; -} - -/* Handles responses to an ajax request: - * - finds the right dataType (mediates between content-type and expected dataType) - * - returns the corresponding response - */ -function ajaxHandleResponses( s, jqXHR, responses ) { - - var ct, type, finalDataType, firstDataType, - contents = s.contents, - dataTypes = s.dataTypes; - - // Remove auto dataType and get content-type in the process - while ( dataTypes[ 0 ] === "*" ) { - dataTypes.shift(); - if ( ct === undefined ) { - ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" ); - } - } - - // Check if we're dealing with a known content-type - if ( ct ) { - for ( type in contents ) { - if ( contents[ type ] && contents[ type ].test( ct ) ) { - dataTypes.unshift( type ); - break; - } - } - } - - // Check to see if we have a response for the expected dataType - if ( dataTypes[ 0 ] in responses ) { - finalDataType = dataTypes[ 0 ]; - } else { - - // Try convertible dataTypes - for ( type in responses ) { - if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) { - finalDataType = type; - break; - } - if ( !firstDataType ) { - firstDataType = type; - } - } - - // Or just use first one - finalDataType = finalDataType || firstDataType; - } - - // If we found a dataType - // We add the dataType to the list if needed - // and return the corresponding response - if ( finalDataType ) { - if ( finalDataType !== dataTypes[ 0 ] ) { - dataTypes.unshift( finalDataType ); - } - return responses[ finalDataType ]; - } -} - -/* Chain conversions given the request and the original response - * Also sets the responseXXX fields on the jqXHR instance - */ -function ajaxConvert( s, response, jqXHR, isSuccess ) { - var conv2, current, conv, tmp, prev, - converters = {}, - - // Work with a copy of dataTypes in case we need to modify it for conversion - dataTypes = s.dataTypes.slice(); - - // Create converters map with lowercased keys - if ( dataTypes[ 1 ] ) { - for ( conv in s.converters ) { - converters[ conv.toLowerCase() ] = s.converters[ conv ]; - } - } - - current = dataTypes.shift(); - - // Convert to each sequential dataType - while ( current ) { - - if ( s.responseFields[ current ] ) { - jqXHR[ s.responseFields[ current ] ] = response; - } - - // Apply the dataFilter if provided - if ( !prev && isSuccess && s.dataFilter ) { - response = s.dataFilter( response, s.dataType ); - } - - prev = current; - current = dataTypes.shift(); - - if ( current ) { - - // There's only work to do if current dataType is non-auto - if ( current === "*" ) { - - current = prev; - - // Convert response if prev dataType is non-auto and differs from current - } else if ( prev !== "*" && prev !== current ) { - - // Seek a direct converter - conv = converters[ prev + " " + current ] || converters[ "* " + current ]; - - // If none found, seek a pair - if ( !conv ) { - for ( conv2 in converters ) { - - // If conv2 outputs current - tmp = conv2.split( " " ); - if ( tmp[ 1 ] === current ) { - - // If prev can be converted to accepted input - conv = converters[ prev + " " + tmp[ 0 ] ] || - converters[ "* " + tmp[ 0 ] ]; - if ( conv ) { - - // Condense equivalence converters - if ( conv === true ) { - conv = converters[ conv2 ]; - - // Otherwise, insert the intermediate dataType - } else if ( converters[ conv2 ] !== true ) { - current = tmp[ 0 ]; - dataTypes.unshift( tmp[ 1 ] ); - } - break; - } - } - } - } - - // Apply converter (if not an equivalence) - if ( conv !== true ) { - - // Unless errors are allowed to bubble, catch and return them - if ( conv && s.throws ) { - response = conv( response ); - } else { - try { - response = conv( response ); - } catch ( e ) { - return { - state: "parsererror", - error: conv ? e : "No conversion from " + prev + " to " + current - }; - } - } - } - } - } - } - - return { state: "success", data: response }; -} - -jQuery.extend( { - - // Counter for holding the number of active queries - active: 0, - - // Last-Modified header cache for next request - lastModified: {}, - etag: {}, - - ajaxSettings: { - url: location.href, - type: "GET", - isLocal: rlocalProtocol.test( location.protocol ), - global: true, - processData: true, - async: true, - contentType: "application/x-www-form-urlencoded; charset=UTF-8", - - /* - timeout: 0, - data: null, - dataType: null, - username: null, - password: null, - cache: null, - throws: false, - traditional: false, - headers: {}, - */ - - accepts: { - "*": allTypes, - text: "text/plain", - html: "text/html", - xml: "application/xml, text/xml", - json: "application/json, text/javascript" - }, - - contents: { - xml: /\bxml\b/, - html: /\bhtml/, - json: /\bjson\b/ - }, - - responseFields: { - xml: "responseXML", - text: "responseText", - json: "responseJSON" - }, - - // Data converters - // Keys separate source (or catchall "*") and destination types with a single space - converters: { - - // Convert anything to text - "* text": String, - - // Text to html (true = no transformation) - "text html": true, - - // Evaluate text as a json expression - "text json": JSON.parse, - - // Parse text as xml - "text xml": jQuery.parseXML - }, - - // For options that shouldn't be deep extended: - // you can add your own custom options here if - // and when you create one that shouldn't be - // deep extended (see ajaxExtend) - flatOptions: { - url: true, - context: true - } - }, - - // Creates a full fledged settings object into target - // with both ajaxSettings and settings fields. - // If target is omitted, writes into ajaxSettings. - ajaxSetup: function( target, settings ) { - return settings ? - - // Building a settings object - ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) : - - // Extending ajaxSettings - ajaxExtend( jQuery.ajaxSettings, target ); - }, - - ajaxPrefilter: addToPrefiltersOrTransports( prefilters ), - ajaxTransport: addToPrefiltersOrTransports( transports ), - - // Main method - ajax: function( url, options ) { - - // If url is an object, simulate pre-1.5 signature - if ( typeof url === "object" ) { - options = url; - url = undefined; - } - - // Force options to be an object - options = options || {}; - - var transport, - - // URL without anti-cache param - cacheURL, - - // Response headers - responseHeadersString, - responseHeaders, - - // timeout handle - timeoutTimer, - - // Url cleanup var - urlAnchor, - - // Request state (becomes false upon send and true upon completion) - completed, - - // To know if global events are to be dispatched - fireGlobals, - - // Loop variable - i, - - // uncached part of the url - uncached, - - // Create the final options object - s = jQuery.ajaxSetup( {}, options ), - - // Callbacks context - callbackContext = s.context || s, - - // Context for global events is callbackContext if it is a DOM node or jQuery collection - globalEventContext = s.context && - ( callbackContext.nodeType || callbackContext.jquery ) ? - jQuery( callbackContext ) : - jQuery.event, - - // Deferreds - deferred = jQuery.Deferred(), - completeDeferred = jQuery.Callbacks( "once memory" ), - - // Status-dependent callbacks - statusCode = s.statusCode || {}, - - // Headers (they are sent all at once) - requestHeaders = {}, - requestHeadersNames = {}, - - // Default abort message - strAbort = "canceled", - - // Fake xhr - jqXHR = { - readyState: 0, - - // Builds headers hashtable if needed - getResponseHeader: function( key ) { - var match; - if ( completed ) { - if ( !responseHeaders ) { - responseHeaders = {}; - while ( ( match = rheaders.exec( responseHeadersString ) ) ) { - responseHeaders[ match[ 1 ].toLowerCase() + " " ] = - ( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] ) - .concat( match[ 2 ] ); - } - } - match = responseHeaders[ key.toLowerCase() + " " ]; - } - return match == null ? null : match.join( ", " ); - }, - - // Raw string - getAllResponseHeaders: function() { - return completed ? responseHeadersString : null; - }, - - // Caches the header - setRequestHeader: function( name, value ) { - if ( completed == null ) { - name = requestHeadersNames[ name.toLowerCase() ] = - requestHeadersNames[ name.toLowerCase() ] || name; - requestHeaders[ name ] = value; - } - return this; - }, - - // Overrides response content-type header - overrideMimeType: function( type ) { - if ( completed == null ) { - s.mimeType = type; - } - return this; - }, - - // Status-dependent callbacks - statusCode: function( map ) { - var code; - if ( map ) { - if ( completed ) { - - // Execute the appropriate callbacks - jqXHR.always( map[ jqXHR.status ] ); - } else { - - // Lazy-add the new callbacks in a way that preserves old ones - for ( code in map ) { - statusCode[ code ] = [ statusCode[ code ], map[ code ] ]; - } - } - } - return this; - }, - - // Cancel the request - abort: function( statusText ) { - var finalText = statusText || strAbort; - if ( transport ) { - transport.abort( finalText ); - } - done( 0, finalText ); - return this; - } - }; - - // Attach deferreds - deferred.promise( jqXHR ); - - // Add protocol if not provided (prefilters might expect it) - // Handle falsy url in the settings object (#10093: consistency with old signature) - // We also use the url parameter if available - s.url = ( ( url || s.url || location.href ) + "" ) - .replace( rprotocol, location.protocol + "//" ); - - // Alias method option to type as per ticket #12004 - s.type = options.method || options.type || s.method || s.type; - - // Extract dataTypes list - s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ]; - - // A cross-domain request is in order when the origin doesn't match the current origin. - if ( s.crossDomain == null ) { - urlAnchor = document.createElement( "a" ); - - // Support: IE <=8 - 11, Edge 12 - 15 - // IE throws exception on accessing the href property if url is malformed, - // e.g. http://example.com:80x/ - try { - urlAnchor.href = s.url; - - // Support: IE <=8 - 11 only - // Anchor's host property isn't correctly set when s.url is relative - urlAnchor.href = urlAnchor.href; - s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !== - urlAnchor.protocol + "//" + urlAnchor.host; - } catch ( e ) { - - // If there is an error parsing the URL, assume it is crossDomain, - // it can be rejected by the transport if it is invalid - s.crossDomain = true; - } - } - - // Convert data if not already a string - if ( s.data && s.processData && typeof s.data !== "string" ) { - s.data = jQuery.param( s.data, s.traditional ); - } - - // Apply prefilters - inspectPrefiltersOrTransports( prefilters, s, options, jqXHR ); - - // If request was aborted inside a prefilter, stop there - if ( completed ) { - return jqXHR; - } - - // We can fire global events as of now if asked to - // Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118) - fireGlobals = jQuery.event && s.global; - - // Watch for a new set of requests - if ( fireGlobals && jQuery.active++ === 0 ) { - jQuery.event.trigger( "ajaxStart" ); - } - - // Uppercase the type - s.type = s.type.toUpperCase(); - - // Determine if request has content - s.hasContent = !rnoContent.test( s.type ); - - // Save the URL in case we're toying with the If-Modified-Since - // and/or If-None-Match header later on - // Remove hash to simplify url manipulation - cacheURL = s.url.replace( rhash, "" ); - - // More options handling for requests with no content - if ( !s.hasContent ) { - - // Remember the hash so we can put it back - uncached = s.url.slice( cacheURL.length ); - - // If data is available and should be processed, append data to url - if ( s.data && ( s.processData || typeof s.data === "string" ) ) { - cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data; - - // #9682: remove data so that it's not used in an eventual retry - delete s.data; - } - - // Add or update anti-cache param if needed - if ( s.cache === false ) { - cacheURL = cacheURL.replace( rantiCache, "$1" ); - uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) + - uncached; - } - - // Put hash and anti-cache on the URL that will be requested (gh-1732) - s.url = cacheURL + uncached; - - // Change '%20' to '+' if this is encoded form body content (gh-2658) - } else if ( s.data && s.processData && - ( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) { - s.data = s.data.replace( r20, "+" ); - } - - // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. - if ( s.ifModified ) { - if ( jQuery.lastModified[ cacheURL ] ) { - jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] ); - } - if ( jQuery.etag[ cacheURL ] ) { - jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] ); - } - } - - // Set the correct header, if data is being sent - if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) { - jqXHR.setRequestHeader( "Content-Type", s.contentType ); - } - - // Set the Accepts header for the server, depending on the dataType - jqXHR.setRequestHeader( - "Accept", - s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ? - s.accepts[ s.dataTypes[ 0 ] ] + - ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) : - s.accepts[ "*" ] - ); - - // Check for headers option - for ( i in s.headers ) { - jqXHR.setRequestHeader( i, s.headers[ i ] ); - } - - // Allow custom headers/mimetypes and early abort - if ( s.beforeSend && - ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) { - - // Abort if not done already and return - return jqXHR.abort(); - } - - // Aborting is no longer a cancellation - strAbort = "abort"; - - // Install callbacks on deferreds - completeDeferred.add( s.complete ); - jqXHR.done( s.success ); - jqXHR.fail( s.error ); - - // Get transport - transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR ); - - // If no transport, we auto-abort - if ( !transport ) { - done( -1, "No Transport" ); - } else { - jqXHR.readyState = 1; - - // Send global event - if ( fireGlobals ) { - globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] ); - } - - // If request was aborted inside ajaxSend, stop there - if ( completed ) { - return jqXHR; - } - - // Timeout - if ( s.async && s.timeout > 0 ) { - timeoutTimer = window.setTimeout( function() { - jqXHR.abort( "timeout" ); - }, s.timeout ); - } - - try { - completed = false; - transport.send( requestHeaders, done ); - } catch ( e ) { - - // Rethrow post-completion exceptions - if ( completed ) { - throw e; - } - - // Propagate others as results - done( -1, e ); - } - } - - // Callback for when everything is done - function done( status, nativeStatusText, responses, headers ) { - var isSuccess, success, error, response, modified, - statusText = nativeStatusText; - - // Ignore repeat invocations - if ( completed ) { - return; - } - - completed = true; - - // Clear timeout if it exists - if ( timeoutTimer ) { - window.clearTimeout( timeoutTimer ); - } - - // Dereference transport for early garbage collection - // (no matter how long the jqXHR object will be used) - transport = undefined; - - // Cache response headers - responseHeadersString = headers || ""; - - // Set readyState - jqXHR.readyState = status > 0 ? 4 : 0; - - // Determine if successful - isSuccess = status >= 200 && status < 300 || status === 304; - - // Get response data - if ( responses ) { - response = ajaxHandleResponses( s, jqXHR, responses ); - } - - // Use a noop converter for missing script but not if jsonp - if ( !isSuccess && - jQuery.inArray( "script", s.dataTypes ) > -1 && - jQuery.inArray( "json", s.dataTypes ) < 0 ) { - s.converters[ "text script" ] = function() {}; - } - - // Convert no matter what (that way responseXXX fields are always set) - response = ajaxConvert( s, response, jqXHR, isSuccess ); - - // If successful, handle type chaining - if ( isSuccess ) { - - // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. - if ( s.ifModified ) { - modified = jqXHR.getResponseHeader( "Last-Modified" ); - if ( modified ) { - jQuery.lastModified[ cacheURL ] = modified; - } - modified = jqXHR.getResponseHeader( "etag" ); - if ( modified ) { - jQuery.etag[ cacheURL ] = modified; - } - } - - // if no content - if ( status === 204 || s.type === "HEAD" ) { - statusText = "nocontent"; - - // if not modified - } else if ( status === 304 ) { - statusText = "notmodified"; - - // If we have data, let's convert it - } else { - statusText = response.state; - success = response.data; - error = response.error; - isSuccess = !error; - } - } else { - - // Extract error from statusText and normalize for non-aborts - error = statusText; - if ( status || !statusText ) { - statusText = "error"; - if ( status < 0 ) { - status = 0; - } - } - } - - // Set data for the fake xhr object - jqXHR.status = status; - jqXHR.statusText = ( nativeStatusText || statusText ) + ""; - - // Success/Error - if ( isSuccess ) { - deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] ); - } else { - deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] ); - } - - // Status-dependent callbacks - jqXHR.statusCode( statusCode ); - statusCode = undefined; - - if ( fireGlobals ) { - globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError", - [ jqXHR, s, isSuccess ? success : error ] ); - } - - // Complete - completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] ); - - if ( fireGlobals ) { - globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] ); - - // Handle the global AJAX counter - if ( !( --jQuery.active ) ) { - jQuery.event.trigger( "ajaxStop" ); - } - } - } - - return jqXHR; - }, - - getJSON: function( url, data, callback ) { - return jQuery.get( url, data, callback, "json" ); - }, - - getScript: function( url, callback ) { - return jQuery.get( url, undefined, callback, "script" ); - } -} ); - -jQuery.each( [ "get", "post" ], function( _i, method ) { - jQuery[ method ] = function( url, data, callback, type ) { - - // Shift arguments if data argument was omitted - if ( isFunction( data ) ) { - type = type || callback; - callback = data; - data = undefined; - } - - // The url can be an options object (which then must have .url) - return jQuery.ajax( jQuery.extend( { - url: url, - type: method, - dataType: type, - data: data, - success: callback - }, jQuery.isPlainObject( url ) && url ) ); - }; -} ); - -jQuery.ajaxPrefilter( function( s ) { - var i; - for ( i in s.headers ) { - if ( i.toLowerCase() === "content-type" ) { - s.contentType = s.headers[ i ] || ""; - } - } -} ); - - -jQuery._evalUrl = function( url, options, doc ) { - return jQuery.ajax( { - url: url, - - // Make this explicit, since user can override this through ajaxSetup (#11264) - type: "GET", - dataType: "script", - cache: true, - async: false, - global: false, - - // Only evaluate the response if it is successful (gh-4126) - // dataFilter is not invoked for failure responses, so using it instead - // of the default converter is kludgy but it works. - converters: { - "text script": function() {} - }, - dataFilter: function( response ) { - jQuery.globalEval( response, options, doc ); - } - } ); -}; - - -jQuery.fn.extend( { - wrapAll: function( html ) { - var wrap; - - if ( this[ 0 ] ) { - if ( isFunction( html ) ) { - html = html.call( this[ 0 ] ); - } - - // The elements to wrap the target around - wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true ); - - if ( this[ 0 ].parentNode ) { - wrap.insertBefore( this[ 0 ] ); - } - - wrap.map( function() { - var elem = this; - - while ( elem.firstElementChild ) { - elem = elem.firstElementChild; - } - - return elem; - } ).append( this ); - } - - return this; - }, - - wrapInner: function( html ) { - if ( isFunction( html ) ) { - return this.each( function( i ) { - jQuery( this ).wrapInner( html.call( this, i ) ); - } ); - } - - return this.each( function() { - var self = jQuery( this ), - contents = self.contents(); - - if ( contents.length ) { - contents.wrapAll( html ); - - } else { - self.append( html ); - } - } ); - }, - - wrap: function( html ) { - var htmlIsFunction = isFunction( html ); - - return this.each( function( i ) { - jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html ); - } ); - }, - - unwrap: function( selector ) { - this.parent( selector ).not( "body" ).each( function() { - jQuery( this ).replaceWith( this.childNodes ); - } ); - return this; - } -} ); - - -jQuery.expr.pseudos.hidden = function( elem ) { - return !jQuery.expr.pseudos.visible( elem ); -}; -jQuery.expr.pseudos.visible = function( elem ) { - return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length ); -}; - - - - -jQuery.ajaxSettings.xhr = function() { - try { - return new window.XMLHttpRequest(); - } catch ( e ) {} -}; - -var xhrSuccessStatus = { - - // File protocol always yields status code 0, assume 200 - 0: 200, - - // Support: IE <=9 only - // #1450: sometimes IE returns 1223 when it should be 204 - 1223: 204 - }, - xhrSupported = jQuery.ajaxSettings.xhr(); - -support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported ); -support.ajax = xhrSupported = !!xhrSupported; - -jQuery.ajaxTransport( function( options ) { - var callback, errorCallback; - - // Cross domain only allowed if supported through XMLHttpRequest - if ( support.cors || xhrSupported && !options.crossDomain ) { - return { - send: function( headers, complete ) { - var i, - xhr = options.xhr(); - - xhr.open( - options.type, - options.url, - options.async, - options.username, - options.password - ); - - // Apply custom fields if provided - if ( options.xhrFields ) { - for ( i in options.xhrFields ) { - xhr[ i ] = options.xhrFields[ i ]; - } - } - - // Override mime type if needed - if ( options.mimeType && xhr.overrideMimeType ) { - xhr.overrideMimeType( options.mimeType ); - } - - // X-Requested-With header - // For cross-domain requests, seeing as conditions for a preflight are - // akin to a jigsaw puzzle, we simply never set it to be sure. - // (it can always be set on a per-request basis or even using ajaxSetup) - // For same-domain requests, won't change header if already provided. - if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) { - headers[ "X-Requested-With" ] = "XMLHttpRequest"; - } - - // Set headers - for ( i in headers ) { - xhr.setRequestHeader( i, headers[ i ] ); - } - - // Callback - callback = function( type ) { - return function() { - if ( callback ) { - callback = errorCallback = xhr.onload = - xhr.onerror = xhr.onabort = xhr.ontimeout = - xhr.onreadystatechange = null; - - if ( type === "abort" ) { - xhr.abort(); - } else if ( type === "error" ) { - - // Support: IE <=9 only - // On a manual native abort, IE9 throws - // errors on any property access that is not readyState - if ( typeof xhr.status !== "number" ) { - complete( 0, "error" ); - } else { - complete( - - // File: protocol always yields status 0; see #8605, #14207 - xhr.status, - xhr.statusText - ); - } - } else { - complete( - xhrSuccessStatus[ xhr.status ] || xhr.status, - xhr.statusText, - - // Support: IE <=9 only - // IE9 has no XHR2 but throws on binary (trac-11426) - // For XHR2 non-text, let the caller handle it (gh-2498) - ( xhr.responseType || "text" ) !== "text" || - typeof xhr.responseText !== "string" ? - { binary: xhr.response } : - { text: xhr.responseText }, - xhr.getAllResponseHeaders() - ); - } - } - }; - }; - - // Listen to events - xhr.onload = callback(); - errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" ); - - // Support: IE 9 only - // Use onreadystatechange to replace onabort - // to handle uncaught aborts - if ( xhr.onabort !== undefined ) { - xhr.onabort = errorCallback; - } else { - xhr.onreadystatechange = function() { - - // Check readyState before timeout as it changes - if ( xhr.readyState === 4 ) { - - // Allow onerror to be called first, - // but that will not handle a native abort - // Also, save errorCallback to a variable - // as xhr.onerror cannot be accessed - window.setTimeout( function() { - if ( callback ) { - errorCallback(); - } - } ); - } - }; - } - - // Create the abort callback - callback = callback( "abort" ); - - try { - - // Do send the request (this may raise an exception) - xhr.send( options.hasContent && options.data || null ); - } catch ( e ) { - - // #14683: Only rethrow if this hasn't been notified as an error yet - if ( callback ) { - throw e; - } - } - }, - - abort: function() { - if ( callback ) { - callback(); - } - } - }; - } -} ); - - - - -// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432) -jQuery.ajaxPrefilter( function( s ) { - if ( s.crossDomain ) { - s.contents.script = false; - } -} ); - -// Install script dataType -jQuery.ajaxSetup( { - accepts: { - script: "text/javascript, application/javascript, " + - "application/ecmascript, application/x-ecmascript" - }, - contents: { - script: /\b(?:java|ecma)script\b/ - }, - converters: { - "text script": function( text ) { - jQuery.globalEval( text ); - return text; - } - } -} ); - -// Handle cache's special case and crossDomain -jQuery.ajaxPrefilter( "script", function( s ) { - if ( s.cache === undefined ) { - s.cache = false; - } - if ( s.crossDomain ) { - s.type = "GET"; - } -} ); - -// Bind script tag hack transport -jQuery.ajaxTransport( "script", function( s ) { - - // This transport only deals with cross domain or forced-by-attrs requests - if ( s.crossDomain || s.scriptAttrs ) { - var script, callback; - return { - send: function( _, complete ) { - script = jQuery( " - - - - - - - - - - - Skip to contents - - -
    -
    -
    -
    -

    rbmiUtils - -

    -
    - - -

    rbmiUtils bridges rbmi analysis results into publication-ready regulatory tables and forest plots. It extends rbmi for clinical trial workflows, providing additional utilities from data validation, storing imputed data sets, through to formatted efficacy outputs.

    -
    -

    Installation -

    -

    You can install the package from CRAN or the development version from GitHub:

    - ----- - - - - - - - - - - - - - - - - - -
    TypeSourceCommand
    ReleaseCRANinstall.packages("rbmiUtils")
    DevelopmentGitHubremotes::install_github("openpharma/rbmiUtils")
    -
    -
    -

    Quick Start -

    -

    rbmiUtils provides additional support for the rbmi pipeline from raw data to publication-ready outputs. Here is an example workflow to illustrate these utilities using the bundled ADEFF dataset:

    -
    -library(rbmiUtils)
-library(rbmi)
-library(dplyr)
-
-# Load example efficacy dataset and prepare factors
-data("ADEFF", package = "rbmiUtils")
-ADEFF <- ADEFF |>
-  mutate(
-    TRT = factor(TRT01P, levels = c("Placebo", "Drug A")),
-    USUBJID = factor(USUBJID),
-    AVISIT = factor(AVISIT, levels = c("Week 24", "Week 48"))
-  )
-
-# Define analysis variables
-vars <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CHG",
-  covariates = c("BASE", "STRATA", "REGION")
-)
-
-# Configure Bayesian imputation method
-method <- method_bayes(
-  n_samples = 100,
-  control = control_bayes(warmup = 200, thin = 2)
-)
-
-# Step 1: Fit imputation model (draws)
-dat <- ADEFF |> select(USUBJID, STRATA, REGION, TRT, BASE, CHG, AVISIT)
-draws_obj <- draws(data = dat, vars = vars, method = method)
-
-# Step 2: Generate imputed datasets
-impute_obj <- impute(
-  draws_obj,
-  references = c("Placebo" = "Placebo", "Drug A" = "Placebo")
-)
-
-# Step 3: Extract stacked imputed data
-ADMI <- get_imputed_data(impute_obj)
-
-# Modification of the complete data is possible (i.e. collapsing variables).
-
-# Step 4: Analyse each imputed dataset
-ana_obj <- analyse_mi_data(data = ADMI, vars = vars, method = method, fun = ancova)
-
-# Step 5: Pool results using Rubin's rules
-pool_obj <- pool(ana_obj)
-
-# Publication-ready table
-efficacy_table(pool_obj, arm_labels = c(ref = "Placebo", alt = "Drug A"))
    -
    Efficacy Table

    See the end-to-end pipeline vignette for the complete walkthrough from raw data to these outputs.

    -
    -
    -

    Key Features -

    - -
    -
    -

    Learn More -

    - -
    -
    -

    Development Status -

    -

    This package is experimental and under active development. Feedback and contributions are welcome via GitHub issues or pull requests.

    -
    -
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    -
    - - - - - - - diff --git a/docs/katex-auto.js b/docs/katex-auto.js deleted file mode 100644 index 20651d9..0000000 --- a/docs/katex-auto.js +++ /dev/null @@ -1,14 +0,0 @@ -// https://github.com/jgm/pandoc/blob/29fa97ab96b8e2d62d48326e1b949a71dc41f47a/src/Text/Pandoc/Writers/HTML.hs#L332-L345 -document.addEventListener("DOMContentLoaded", function () { - var mathElements = document.getElementsByClassName("math"); - var macros = []; - for (var i = 0; i < mathElements.length; i++) { - var texText = mathElements[i].firstChild; - if (mathElements[i].tagName == "SPAN") { - katex.render(texText.data, mathElements[i], { - displayMode: mathElements[i].classList.contains("display"), - throwOnError: false, - macros: macros, - fleqn: false - }); - }}}); diff --git a/docs/lightswitch.js b/docs/lightswitch.js deleted file mode 100644 index 9467125..0000000 --- a/docs/lightswitch.js +++ /dev/null @@ -1,85 +0,0 @@ - -/*! - * Color mode toggler for Bootstrap's docs (https://getbootstrap.com/) - * Copyright 2011-2023 The Bootstrap Authors - * Licensed under the Creative Commons Attribution 3.0 Unported License. - * Updates for {pkgdown} by the {bslib} authors, also licensed under CC-BY-3.0. - */ - -const getStoredTheme = () => localStorage.getItem('theme') -const setStoredTheme = theme => localStorage.setItem('theme', theme) - -const getPreferredTheme = () => { - const storedTheme = getStoredTheme() - if (storedTheme) { - return storedTheme - } - - return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light' -} - -const setTheme = theme => { - if (theme === 'auto') { - document.documentElement.setAttribute('data-bs-theme', (window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light')) - } else { - document.documentElement.setAttribute('data-bs-theme', theme) - } -} - -function bsSetupThemeToggle () { - 'use strict' - - const showActiveTheme = (theme, focus = false) => { - var activeLabel, activeIcon; - - document.querySelectorAll('[data-bs-theme-value]').forEach(element => { - const buttonTheme = element.getAttribute('data-bs-theme-value') - const isActive = buttonTheme == theme - - element.classList.toggle('active', isActive) - element.setAttribute('aria-pressed', isActive) - - if (isActive) { - activeLabel = element.textContent; - activeIcon = element.querySelector('span').classList.value; - } - }) - - const themeSwitcher = document.querySelector('#dropdown-lightswitch') - if (!themeSwitcher) { - return - } - - themeSwitcher.setAttribute('aria-label', activeLabel) - themeSwitcher.querySelector('span').classList.value = activeIcon; - - if (focus) { - themeSwitcher.focus() - } - } - - window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', () => { - const storedTheme = getStoredTheme() - if (storedTheme !== 'light' && storedTheme !== 'dark') { - setTheme(getPreferredTheme()) - } - }) - - window.addEventListener('DOMContentLoaded', () => { - showActiveTheme(getPreferredTheme()) - - document - .querySelectorAll('[data-bs-theme-value]') - .forEach(toggle => { - toggle.addEventListener('click', () => { - const theme = toggle.getAttribute('data-bs-theme-value') - setTheme(theme) - setStoredTheme(theme) - showActiveTheme(theme, true) - }) - }) - }) -} - -setTheme(getPreferredTheme()); -bsSetupThemeToggle(); diff --git a/docs/link.svg b/docs/link.svg deleted file mode 100644 index 88ad827..0000000 --- a/docs/link.svg +++ /dev/null @@ -1,12 +0,0 @@ - - - - - - diff --git a/docs/logo.png b/docs/logo.png deleted file mode 100644 index e1bc81e..0000000 Binary files a/docs/logo.png and /dev/null differ diff --git a/docs/news/index.html b/docs/news/index.html deleted file mode 100644 index b371b89..0000000 --- a/docs/news/index.html +++ /dev/null @@ -1,191 +0,0 @@ - -Changelog • rbmiUtils - Skip to contents - - -
    -
    -
    - -

    Changelog

    - Source: NEWS.md -
    - -
    -

    rbmiUtils 0.4.0

    -
    -

    New Features

    -
    • -describe_draws() extracts structured metadata from rbmi draws objects, including method type, formula, sample count, and (for Bayesian methods) MCMC convergence diagnostics (ESS, Rhat).
      • -
    • -describe_imputation() extracts imputation metadata including method, number of imputations (M), reference arm mappings, and a missingness breakdown by visit and treatment arm.
      • -
    • -pool_to_ard() gains an analysis_obj parameter that enriches the ARD with MI diagnostic statistics (FMI, lambda, RIV, Barnard-Rubin adjusted df, relative efficiency) when the pooling method is Rubin’s rules.
      • -
    -
    -

    Improvements

    -
    • -efficacy_table() gains font_family, font_size, and row_padding parameters for publication-ready table styling.
      • -
    • -plot_forest() gains font_family and panel_widths parameters for customizable typography and panel layout.
      • -
    • -plot_forest() left panel now uses left-aligned text (hjust=0) for consistent positioning regardless of label length.
      • -
    • Non-Rubin pooling methods now emit an informative cli::cli_inform() message when MI diagnostics are not applicable, rather than returning NA rows.
      • -
    -
    -
    -

    rbmiUtils 0.3.0

    -
    -

    New Features

    -
    • End-to-end pipeline vignette “From rbmi Analysis to Regulatory Tables” with continuous and binary analysis walkthroughs.
      • -
    • README enhanced with rendered efficacy table and forest plot visual teasers.
      • -
    • Rendered example output images in plot_forest() and efficacy_table() help pages.
      • -
    • Inline cross-references to rbmi and beeca documentation in all vignettes.
      • -
    -
    -

    Improvements

    -
    • -validate_data() now uses cli-formatted error messages with clearer guidance for malformed interaction terms, empty data, and type mismatches.
      • -
    • -prepare_data_ice() now errors immediately when vars$strategy is NULL instead of silently using a default column name.
      • -
    • -prepare_data_ice() warns when visit column is character with guidance to convert to factor for correct ordering.
      • -
    • -validate_data() batches all type coercion warnings into a single message and warns on all-NA covariate columns.
      • -
    • Data preparation functions handle edge cases (single subject, single visit, all-NA outcome, all-complete data) gracefully.
      • -
    -
    -
    -

    rbmiUtils 0.2.0

    -
    -

    Breaking Changes

    -
    • -tidy_pool_obj() now uses regex-based parameter parsing instead of splitting on _. Output columns (parameter_type, lsm_type, visit) now contain the full visit name rather than truncated fragments.
      • -
    -
    -

    New Features

    -
    -
    -

    Dependencies

    -
    • Added cli (>= 3.6.0) and lifecycle (>= 1.0.4) to Imports for improved error messaging and deprecation support.
      • -
    -
    -

    Improvements

    -
    • Enhanced input validation in analyse_mi_data() with clearer error messages using inherits() instead of internal class helpers.
      • -
    • Enhanced input validation in prepare_data_ice() to check vars fields.
      • -
    • Cross-references between related functions in documentation.
      • -
    • Expanded test coverage and integration tests.
      • -
    -
    -

    Previous Releases

    -
    -
    -

    rbmiUtils 0.1.8

    -

    CRAN release: 2026-01-24

    -
    -
    -

    rbmiUtils 0.1.7

    -
    • Moved tidyr from Suggests to Imports (used in tidy_pool_obj()).
      • -
    • Added examples to gcomp_responder() documentation.
      • -
    • Standardized examples to use native pipe operator |>.
      • -
    -
    -

    rbmiUtils 0.1.6

    -

    CRAN release: 2025-09-13 Added additional tests for all utility functions.

    -
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    -

    rbmiUtils 0.1.4

    -

    CRAN release: 2025-05-23

    -
    -
    -

    First release

    -
    • Preparation for CRAN submission.
      • -
    • Initial draft package.
      • -
    • Added a NEWS.md file to track changes to the package.
      • -
    • Added documentation via pkgdown.
      • -
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
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    > ${s.what}`; - } else { - return `${s.dir} >
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    > ${s.previous_headings} > ${s.what}`; - } - }, - }, - }, - ]).on('autocomplete:selected', function(event, s) { - window.location.href = s.path + "?q=" + q + "#" + s.id; - }); - }); -})(window.jQuery || window.$) - -document.addEventListener('keydown', function(event) { - // Check if the pressed key is '/' - if (event.key === '/') { - event.preventDefault(); // Prevent any default action associated with the '/' key - document.getElementById('search-input').focus(); // Set focus to the search input - } -}); diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml deleted file mode 100644 index a3f0fac..0000000 --- a/docs/pkgdown.yml +++ /dev/null @@ -1,14 +0,0 @@ -pandoc: 3.8.3 -pkgdown: 2.1.1 -pkgdown_sha: ~ -articles: - analyse2: analyse2.html - data-preparation: data-preparation.html - deriving-endpoints: deriving-endpoints.html - diagnostics: diagnostics.html - efficient-storage: efficient-storage.html - pipeline: pipeline.html -last_built: 2026-02-16T20:18Z -urls: - reference: https://openpharma.github.io/rbmiUtils/reference - article: https://openpharma.github.io/rbmiUtils/articles diff --git a/docs/reference/ADEFF.html b/docs/reference/ADEFF.html deleted file mode 100644 index 21353ec..0000000 --- a/docs/reference/ADEFF.html +++ /dev/null @@ -1,114 +0,0 @@ - -Example efficacy trial dataset — ADEFF • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Example efficacy trial dataset

    - Source: R/ADEFF.R -
    ADEFF.Rd
    -
    - -
    -

    A simplified example of a simulated trial dataset, with missing data.

    -
    - -
    -

    Usage

    - 
    ADEFF
    -
    - -
    -

    Format

    -

    ADEFF -A data frame with 1,000 rows and 10 columns:

    USUBJID
    -

    Unique subject identifier

    - -
    AVAL
    -

    Primary outcome variable

    - -
    TRT01P
    -

    Planned treatment

    - -
    STRATA
    -

    Stratification at randomisation

    - -
    REGION
    -

    Stratification by region

    - -
    REGIONC
    -

    Stratification by region, numeric code

    - -
    BASE
    -

    Baseline value of primary outcome variable

    - -
    CHG
    -

    Change from baseline

    - -
    AVISIT
    -

    Visit number

    - -
    PARAM
    -

    Analysis parameter name

    - - -
    - -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/ADMI.html b/docs/reference/ADMI.html deleted file mode 100644 index df6ab23..0000000 --- a/docs/reference/ADMI.html +++ /dev/null @@ -1,120 +0,0 @@ - -Example multiple imputation trial dataset — ADMI • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Example multiple imputation trial dataset

    - Source: R/ADMI.R -
    ADMI.Rd
    -
    - -
    -

    A simplified example of a simulated trial ADMI dataset

    -
    - -
    -

    Usage

    - 
    ADMI
    -
    - -
    -

    Format

    -

    ADMI -A data frame with 100,000 rows and 12 columns:

    USUBJID
    -

    Unique patient identifier

    - -
    STRATA
    -

    Stratification at randomisation

    - -
    REGION
    -

    Stratification by region

    - -
    REGIONC
    -

    Stratification by region, numeric code

    - -
    TRT
    -

    Planned treatment

    - -
    BASE
    -

    Baseline value of primary outcome variable

    - -
    CHG
    -

    Change from baseline

    - -
    AVISIT
    -

    Visit number

    - -
    IMPID
    -

    Imputation number identifier

    - -
    CRIT1FLN
    -

    Responder criteria (binary)

    - -
    CRIT1FL
    -

    Responder criteria (categorical)

    - -
    CRIT
    -

    Responder criteria (definition)

    - - -
    - -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/analyse_mi_data.html b/docs/reference/analyse_mi_data.html deleted file mode 100644 index 4c9dd07..0000000 --- a/docs/reference/analyse_mi_data.html +++ /dev/null @@ -1,201 +0,0 @@ - -Apply Analysis Function to Multiple Imputed Datasets — analyse_mi_data • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Apply Analysis Function to Multiple Imputed Datasets

    - Source: R/analyse_mi_data.R -
    analyse_mi_data.Rd
    -
    - -
    -

    This function applies an analysis function (e.g., ANCOVA) to imputed datasets and stores the results for later pooling. It is designed to work with multiple imputed datasets and apply a given analysis function to each imputation iteration.

    -
    - -
    -

    Usage

    - 
    analyse_mi_data(
-  data = NULL,
-  vars = NULL,
-  method = NULL,
-  fun = rbmi::ancova,
-  delta = NULL,
-  ...
-)
    -
    - -
    -

    Arguments

    - - -
    data
    -

    A data frame containing the imputed datasets. The data frame should include a variable (e.g., IMPID) that identifies distinct imputation iterations. -Typically obtained from get_imputed_data() or expand_imputed_data().

    - - -
    vars
    -

    A list specifying key variables used in the analysis (e.g., subjid, visit, group, outcome). -Created using rbmi::set_vars(). Required.

    - - -
    method
    -

    A method object specifying the imputation method used (e.g., Bayesian imputation). -Created using rbmi::method_bayes(), rbmi::method_approxbayes(), or rbmi::method_condmean(). Required.

    - - -
    fun
    -

    A function that will be applied to each imputed dataset. Defaults to rbmi::ancova. -Other options include gcomp_responder_multi() for binary outcomes. Must be a valid analysis function.

    - - -
    delta
    -

    A data.frame used for delta adjustments, or NULL if no delta adjustments are needed. Defaults to NULL. -Must contain columns matching vars$subjid, vars$visit, vars$group, and a delta column.

    - - -
    ...
    -

    Additional arguments passed to the analysis function fun.

    - -
    -
    -

    Value

    -

    An object of class analysis containing the results from applying the analysis function to each imputed dataset. -Pass this to rbmi::pool() to obtain pooled estimates.

    -
    -
    -

    Details

    -

    The function loops through distinct imputation datasets (identified by IMPID), applies the provided analysis function fun, and stores the results for later pooling. If a delta dataset is provided, it will be merged with the imputed data to apply the specified delta adjustment before analysis.

    -

    Workflow:

    1. Prepare imputed data using get_imputed_data() or expand_imputed_data()

      2. -

    2. Define variables using rbmi::set_vars()

      3. -

    3. Call analyse_mi_data() to apply analysis to each imputation

      4. -

    4. Pool results using rbmi::pool()

      5. -

    5. Tidy results using tidy_pool_obj()

      6. -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    # Example usage with an ANCOVA function
-library(dplyr)
-#> Warning: package ‘dplyr’ was built under R version 4.4.3
-#> 
-#> Attaching package: ‘dplyr’
-#> The following objects are masked from ‘package:stats’:
-#> 
-#>     filter, lag
-#> The following objects are masked from ‘package:base’:
-#> 
-#>     intersect, setdiff, setequal, union
-library(rbmi)
-#> Warning: package ‘rbmi’ was built under R version 4.4.3
-library(rbmiUtils)
-set.seed(123)
-data("ADMI")
-
-# Convert key columns to factors
-ADMI$TRT <- factor(ADMI$TRT, levels = c("Placebo", "Drug A"))
-ADMI$USUBJID <- factor(ADMI$USUBJID)
-ADMI$AVISIT <- factor(ADMI$AVISIT)
-
-# Define key variables for ANCOVA analysis
- vars <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CHG",
-  covariates = c("BASE", "STRATA", "REGION")  # Covariates for adjustment
- )
-
-# Specify the imputation method (Bayesian) - need for pool step
- method <- rbmi::method_bayes(
- n_samples = 20,
- control = rbmi::control_bayes(
-   warmup = 20,
-   thin = 1
-   )
- )
-
-# Perform ANCOVA Analysis on Each Imputed Dataset
-ana_obj_ancova <- analyse_mi_data(
-  data = ADMI,
-  vars = vars,
-  method = method,
-  fun = ancova,  # Apply ANCOVA
-  delta = NULL   # No sensitivity analysis adjustment
-)
-#> Warning: Data contains 100 imputations but method expects 20. Using first 20
-#> imputations.
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/as_analysis2.html b/docs/reference/as_analysis2.html deleted file mode 100644 index 26dac1d..0000000 --- a/docs/reference/as_analysis2.html +++ /dev/null @@ -1,122 +0,0 @@ - -Construct an rbmi analysis object — as_analysis2 • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Construct an rbmi analysis object

    - Source: R/analyse_mi_data.R -
    as_analysis2.Rd
    -
    - -
    -

    [Deprecated]

    -

    This is a helper function to create an analysis object that stores the -results from multiple imputation analyses. It validates the results and -ensures proper class assignment.

    -

    This is a modification of the rbmi::as_analysis function. -This function is deprecated and will be removed in a future version.

    -
    - -
    -

    Usage

    - 
    as_analysis2(results, method, delta = NULL, fun = NULL, fun_name = NULL)
    -
    - -
    -

    Arguments

    - - -
    results
    -

    A list containing the analysis results for each imputation.

    - - -
    method
    -

    The method object used for the imputation.

    - - -
    delta
    -

    Optional. A delta dataset used for adjustment.

    - - -
    fun
    -

    The analysis function that was used.

    - - -
    fun_name
    -

    The name of the analysis function (used for printing).

    - -
    -
    -

    Value

    -

    An object of class analysis with the results and associated metadata.

    -
    - -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/as_simple_formula2.html b/docs/reference/as_simple_formula2.html deleted file mode 100644 index 2c6d77e..0000000 --- a/docs/reference/as_simple_formula2.html +++ /dev/null @@ -1,98 +0,0 @@ - -Convert character variable list to formula — as_simple_formula2 • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Convert character variable list to formula

    - Source: R/analysis_utils.R -
    as_simple_formula2.Rd
    -
    - -
    -

    [Deprecated]

    -

    This function is deprecated and will be removed in a future version.

    -
    - -
    -

    Usage

    - 
    as_simple_formula2(outcome, covars)
    -
    - -
    -

    Arguments

    - - -
    outcome
    -

    Character string, the outcome variable.

    - - -
    covars
    -

    Character vector of covariates.

    - -
    -
    -

    Value

    -

    A formula object.

    -
    - -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/combine_results.html b/docs/reference/combine_results.html deleted file mode 100644 index d4c2521..0000000 --- a/docs/reference/combine_results.html +++ /dev/null @@ -1,130 +0,0 @@ - -Combine Results Across Multiple Analyses — combine_results • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Combine Results Across Multiple Analyses

    - Source: R/result_helpers.R -
    combine_results.Rd
    -
    - -
    -

    Combines tidy result tibbles from multiple analyses (e.g., different endpoints -or subgroups) into a single table with an identifying column.

    -
    - -
    -

    Usage

    - 
    combine_results(..., results_list = NULL, id_col = "analysis")
    -
    - -
    -

    Arguments

    - - -
    ...
    -

    Named arguments where each is a tidy result tibble from tidy_pool_obj().

    - - -
    results_list
    -

    Alternative to ...: a named list of tidy result tibbles.

    - - -
    id_col
    -

    Character string specifying the name of the identifier column. -Default is "analysis".

    - -
    -
    -

    Value

    -

    A tibble with all results combined, with an additional column identifying -the source analysis.

    -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    # \donttest{
-library(rbmi)
-library(dplyr)
-
-# Assuming you have multiple pooled results
-# results_week24 <- tidy_pool_obj(pool_obj_week24)
-# results_week48 <- tidy_pool_obj(pool_obj_week48)
-
-# Combine them
-# combined <- combine_results(
-#   "Week 24" = results_week24,
-#   "Week 48" = results_week48
-# )
-# }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/create_impid.html b/docs/reference/create_impid.html deleted file mode 100644 index 4e64288..0000000 --- a/docs/reference/create_impid.html +++ /dev/null @@ -1,133 +0,0 @@ - -Create IMPID Column for Imputed Datasets — create_impid • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Create IMPID Column for Imputed Datasets

    - Source: R/result_helpers.R -
    create_impid.Rd
    -
    - -
    -

    Adds an IMPID column to a list of imputed datasets, converting them to a -single stacked data.frame suitable for use with analyse_mi_data().

    -
    - -
    -

    Usage

    - 
    create_impid(imputed_list, id_prefix = "")
    -
    - -
    -

    Arguments

    - - -
    imputed_list
    -

    A list of data.frames, where each element represents one -imputed dataset.

    - - -
    id_prefix
    -

    Optional character prefix for IMPID values. Default is empty string.

    - -
    -
    -

    Value

    -

    A single data.frame with all imputed datasets stacked, with an IMPID -column identifying the source imputation.

    -
    -
    -

    Details

    -

    This function is useful when you have imputed datasets from a source other than -rbmi (e.g., from mice or another MI package) and want to use them with rbmiUtils -analysis functions.

    -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    # Create example imputed datasets
-imp1 <- data.frame(USUBJID = c("S1", "S2"), CHG = c(1.5, 2.5))
-imp2 <- data.frame(USUBJID = c("S1", "S2"), CHG = c(1.8, 2.2))
-imp3 <- data.frame(USUBJID = c("S1", "S2"), CHG = c(1.6, 2.4))
-
-# Stack with IMPID
-stacked <- create_impid(list(imp1, imp2, imp3))
-print(stacked)
-#>   IMPID USUBJID CHG
-#> 1     1      S1 1.5
-#> 2     1      S2 2.5
-#> 3     2      S1 1.8
-#> 4     2      S2 2.2
-#> 5     3      S1 1.6
-#> 6     3      S2 2.4
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/describe_draws.html b/docs/reference/describe_draws.html deleted file mode 100644 index 341642d..0000000 --- a/docs/reference/describe_draws.html +++ /dev/null @@ -1,191 +0,0 @@ - -Describe an rbmi Draws Object — describe_draws • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Describe an rbmi Draws Object

    - Source: R/describe.R -
    describe_draws.Rd
    -
    - -
    -

    Extracts structured metadata from an rbmi draws object, including method, -formula, sample count, failures, covariance structure, and (for Bayesian -methods) MCMC convergence diagnostics. Returns an S3 object with an -informative print() method.

    -
    - -
    -

    Usage

    - 
    describe_draws(draws_obj)
    -
    - -
    -

    Arguments

    - - -
    draws_obj
    -

    A draws object returned by rbmi::draws().

    - -
    -
    -

    Value

    -

    An S3 object of class c("describe_draws", "list") containing:

    method
    -

    Human-readable method name (e.g., "Bayesian (MCMC via Stan)")

    - -
    method_class
    -

    Raw class name: "bayes", "approxbayes", or "condmean"

    - -
    n_samples
    -

    Total number of samples

    - -
    n_failures
    -

    Number of failed samples

    - -
    formula
    -

    Deparsed model formula string

    - -
    covariance
    -

    Covariance structure (e.g., "us")

    - -
    same_cov
    -

    Logical; whether same covariance is used across groups

    - -
    condmean_type
    -

    (condmean only) "jackknife" or "bootstrap"

    - -
    n_primary
    -

    (condmean only) Always 1

    - -
    n_resampled
    -

    (condmean only) Number of resampled draws

    - -
    bayes_control
    -

    (bayes only) List with warmup, thin, chains, seed

    - -
    mcmc
    -

    (bayes with stanfit only) List with rhat, ess, max_rhat, -min_ess, n_params, converged

    - - -
    -
    -

    Details

    -

    For conditional mean methods, the sample count is displayed as "1 + N" -matching the rbmi convention where the first sample is the primary (full-data) -fit and the remaining N are jackknife or bootstrap resamples.

    -

    For Bayesian methods, MCMC convergence diagnostics (ESS, Rhat) are extracted -from the stanfit object when rstan is available. The converged flag -uses the Rhat < 1.1 threshold matching rbmi's own convention.

    -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    if (FALSE) { # \dontrun{
-library(rbmi)
-library(dplyr)
-data("ADEFF", package = "rbmiUtils")
-
-# Prepare ADEFF data for rbmi pipeline
-ADEFF <- ADEFF |>
-  mutate(
-    TRT = factor(TRT01P, levels = c("Placebo", "Drug A")),
-    USUBJID = factor(USUBJID),
-    AVISIT = factor(AVISIT, levels = c("Week 24", "Week 48"))
-  )
-
-vars <- set_vars(
-  subjid = "USUBJID", visit = "AVISIT", group = "TRT",
-  outcome = "CHG", covariates = c("BASE", "STRATA", "REGION")
-)
-dat <- ADEFF |> select(USUBJID, STRATA, REGION, TRT, BASE, CHG, AVISIT)
-draws_obj <- draws(
-  data = dat, vars = vars,
-  method = method_bayes(n_samples = 100)
-)
-
-# Inspect the draws object
-desc <- describe_draws(draws_obj)
-print(desc)
-
-# Programmatic access to metadata
-desc$method
-desc$n_samples
-desc$formula
-} # }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/describe_imputation.html b/docs/reference/describe_imputation.html deleted file mode 100644 index ce9bd7d..0000000 --- a/docs/reference/describe_imputation.html +++ /dev/null @@ -1,176 +0,0 @@ - -Describe an rbmi Imputation Object — describe_imputation • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Describe an rbmi Imputation Object

    - Source: R/describe.R -
    describe_imputation.Rd
    -
    - -
    -

    Extracts structured metadata from an rbmi imputation object, including -method, number of imputations (M), reference arm mappings, subject count, -and a missingness breakdown by visit and treatment arm. Returns an S3 object -with an informative print() method.

    -
    - -
    -

    Usage

    - 
    describe_imputation(impute_obj)
    -
    - -
    -

    Arguments

    - - -
    impute_obj
    -

    An imputation object returned by rbmi::impute().

    - -
    -
    -

    Value

    -

    An S3 object of class c("describe_imputation", "list") containing:

    method
    -

    Human-readable method name (e.g., "Bayesian (MCMC via Stan)")

    - -
    method_class
    -

    Raw class name: "bayes", "approxbayes", or "condmean"

    - -
    n_imputations
    -

    Number of imputations (M)

    - -
    references
    -

    Named character vector of reference arm mappings, or NULL

    - -
    n_subjects
    -

    Total number of unique subjects

    - -
    visits
    -

    Character vector of visit names

    - -
    missingness
    -

    A data.frame with columns: visit, group, n_total, -n_miss, pct_miss

    - - -
    -
    -

    Details

    -

    The missingness table is built by cross-tabulating -impute_obj$data$is_missing by visit and treatment group. Each row shows -the total number of subjects in that group, how many had missing data at -that visit, and the percentage missing.

    -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    if (FALSE) { # \dontrun{
-library(rbmi)
-library(dplyr)
-data("ADEFF", package = "rbmiUtils")
-
-ADEFF <- ADEFF |>
-  mutate(
-    TRT = factor(TRT01P, levels = c("Placebo", "Drug A")),
-    USUBJID = factor(USUBJID),
-    AVISIT = factor(AVISIT, levels = c("Week 24", "Week 48"))
-  )
-
-vars <- set_vars(
-  subjid = "USUBJID", visit = "AVISIT", group = "TRT",
-  outcome = "CHG", covariates = c("BASE", "STRATA", "REGION")
-)
-dat <- ADEFF |> select(USUBJID, STRATA, REGION, TRT, BASE, CHG, AVISIT)
-draws_obj <- draws(
-  data = dat, vars = vars,
-  method = method_bayes(n_samples = 100)
-)
-impute_obj <- impute(
-  draws_obj,
-  references = c("Placebo" = "Placebo", "Drug A" = "Placebo")
-)
-
-# Inspect the imputation
-desc <- describe_imputation(impute_obj)
-print(desc)
-
-# Programmatic access
-desc$n_imputations
-desc$missingness
-desc$references
-} # }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/efficacy_table.html b/docs/reference/efficacy_table.html deleted file mode 100644 index f2be86a..0000000 --- a/docs/reference/efficacy_table.html +++ /dev/null @@ -1,271 +0,0 @@ - -Create Regulatory-Style Efficacy Summary Table — efficacy_table • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Create Regulatory-Style Efficacy Summary Table

    - Source: R/efficacy_table.R -
    efficacy_table.Rd
    -
    - -
    -

    Takes an rbmi pool object and produces a publication-ready gt table in the -style of CDISC/ICH Table 14.2.x. The table displays least squares means by -treatment arm, treatment differences, confidence intervals, and p-values, -organized by visit row groups.

    -
    - -
    -

    Usage

    - 
    efficacy_table(
-  pool_obj,
-  title = NULL,
-  subtitle = NULL,
-  digits = 2,
-  ci_level = NULL,
-  arm_labels = NULL,
-  pval_digits = 3,
-  pval_threshold = 0.001,
-  font_family = NULL,
-  font_size = NULL,
-  row_padding = NULL,
-  ...
-)
    -
    - -
    -

    Arguments

    - - -
    pool_obj
    -

    A pooled analysis object of class "pool", typically -obtained from rbmi::pool() after calling analyse_mi_data().

    - - -
    title
    -

    Optional character string for the table title.

    - - -
    subtitle
    -

    Optional character string for the table subtitle.

    - - -
    digits
    -

    Integer. Number of decimal places for estimates and standard -errors. Default is 2.

    - - -
    ci_level
    -

    Numeric. Confidence level for CI column labeling. If NULL -(the default), extracted from pool_obj$conf.level. Falls back to 0.95 if -neither is available.

    - - -
    arm_labels
    -

    Named character vector with elements "ref" and "alt" -providing custom labels for the reference and treatment arms. If NULL -(the default), uses "Reference" and "Treatment".

    - - -
    pval_digits
    -

    Integer. Number of decimal places for p-values. Default -is 3.

    - - -
    pval_threshold
    -

    Numeric. P-values below this threshold are displayed -as "< threshold". Default is 0.001.

    - - -
    font_family
    -

    Optional character string specifying the font family for -the table. When NULL (default), uses gt's default font. Applied via -gt::opt_table_font().

    - - -
    font_size
    -

    Optional numeric value specifying the table font size in -pixels. When NULL (default), uses gt's default size. Applied via -gt::tab_options().

    - - -
    row_padding
    -

    Optional numeric value specifying the vertical padding -for data rows in pixels. When NULL (default), uses gt's default padding. -Smaller values (e.g., 2-3) create compact regulatory-style tables.

    - - -
    ...
    -

    Additional arguments passed to gt::gt().

    - -
    -
    -

    Value

    -

    A gt table object of class gt_tbl.

    -
    -
    -

    Details

    -

    This function assumes a single-parameter-per-visit pool object (the standard -output from an rbmi ANCOVA or MMRM pipeline). It internally calls -tidy_pool_obj() to parse the pool object, then constructs the gt table.

    -

    Arm labels: Use the arm_labels parameter to customize arm names in the -table. For example, arm_labels = c(ref = "Placebo", alt = "Drug A") will -display "LS Mean (Placebo)" and "LS Mean (Drug A)" instead of the defaults.

    -

    Customization: The returned gt object can be further customized using -standard gt piping, e.g., efficacy_table(pool_obj) |> gt::tab_options(...).

    -

    Example output:

    -

    -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    # \donttest{
-if (requireNamespace("gt", quietly = TRUE)) {
-  library(rbmi)
-  data("ADMI", package = "rbmiUtils")
-  ADMI$TRT <- factor(ADMI$TRT, levels = c("Placebo", "Drug A"))
-  ADMI$USUBJID <- factor(ADMI$USUBJID)
-  ADMI$AVISIT <- factor(ADMI$AVISIT)
-
-  vars <- set_vars(
-    subjid = "USUBJID", visit = "AVISIT", group = "TRT",
-    outcome = "CHG", covariates = c("BASE", "STRATA", "REGION")
-  )
-  method <- method_bayes(
-    n_samples = 20,
-    control = control_bayes(warmup = 20, thin = 1)
-  )
-
-  ana_obj <- analyse_mi_data(ADMI, vars, method, fun = ancova)
-  pool_obj <- pool(ana_obj)
-
-  # Basic table
-  tbl <- efficacy_table(pool_obj)
-
-  # Publication-styled table
-  efficacy_table(
-    pool_obj,
-    title = "Table 14.2.1: ANCOVA of Change from Baseline",
-    subtitle = "Mixed Model for Repeated Measures",
-    arm_labels = c(ref = "Placebo", alt = "Drug A"),
-    font_size = 12,
-    row_padding = 4
-  )
-}
-#> Warning: Data contains 100 imputations but method expects 20. Using first 20
-#> imputations.
-
    
-
-  
-    
-    
-      
-      
-      
-      
-    
-    
-
-
-
-
-
-
-
-
-
-
-
-
-    
-
-
-
-
-
-
-
-
-
-
-
-
-    
-    
-    
    Table 14.2.1: ANCOVA of Change from Baseline
    Mixed Model for Repeated Measures
    EstimateStd. Error95% CIP-value
    Week 24
    LS Mean (Placebo)0.090.13(-0.17, 0.34)0.514
    LS Mean (Drug A)−2.100.13(-2.34, -1.85)< 0.001
    Treatment Difference−2.180.18(-2.54, -1.82)< 0.001
    Week 48
    LS Mean (Placebo)0.040.19(-0.33, 0.40)0.846
    LS Mean (Drug A)−3.760.18(-4.11, -3.41)< 0.001
    Treatment Difference−3.790.26(-4.30, -3.29)< 0.001
    Pooling method: rubin
    Number of imputations: 20
    Confidence level: 95%
    # }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/expand_imputed_data.html b/docs/reference/expand_imputed_data.html deleted file mode 100644 index b61a222..0000000 --- a/docs/reference/expand_imputed_data.html +++ /dev/null @@ -1,158 +0,0 @@ - -Expand Reduced Imputed Data to Full Dataset — expand_imputed_data • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Expand Reduced Imputed Data to Full Dataset

    - Source: R/imputation_storage.R -
    expand_imputed_data.Rd
    -
    - -
    -

    Reconstructs the full imputed dataset from a reduced form by merging imputed -values back with the original observed data. This is the inverse operation of -reduce_imputed_data().

    -
    - -
    -

    Usage

    - 
    expand_imputed_data(reduced_data, original_data, vars)
    -
    - -
    -

    Arguments

    - - -
    reduced_data
    -

    A data.frame containing only the imputed values, as -returned by reduce_imputed_data().

    - - -
    original_data
    -

    A data.frame containing the original dataset before -imputation, with missing values in the outcome column.

    - - -
    vars
    -

    A vars object as created by rbmi::set_vars().

    - -
    -
    -

    Value

    -

    A data.frame containing the full imputed dataset with one complete -dataset per IMPID value. The structure matches the output of -get_imputed_data().

    -
    -
    -

    Details

    -

    For each imputation (identified by IMPID), this function:

    1. Starts with the original data (observed values)

      2. -

    2. Replaces missing outcome values with the corresponding imputed values

      3. -

    3. Stacks all imputations together

      4. -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    library(rbmi)
-library(dplyr)
-
-# Example with package data
-data("ADMI", package = "rbmiUtils")
-data("ADEFF", package = "rbmiUtils")
-
-# Prepare original data to match ADMI structure
-original <- ADEFF |>
-  mutate(
-    TRT = TRT01P,
-    USUBJID = as.character(USUBJID)
-  )
-
-vars <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CHG"
-)
-
-# Reduce and then expand
-reduced <- reduce_imputed_data(ADMI, original, vars)
-expanded <- expand_imputed_data(reduced, original, vars)
-
-# Verify expansion
-cat("Original ADMI rows:", nrow(ADMI), "\n")
-#> Original ADMI rows: 100000 
-cat("Expanded rows:", nrow(expanded), "\n")
-#> Expanded rows: 100000 
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/extract_covariates2.html b/docs/reference/extract_covariates2.html deleted file mode 100644 index 152ebbe..0000000 --- a/docs/reference/extract_covariates2.html +++ /dev/null @@ -1,100 +0,0 @@ - -Extract variable names from model terms — extract_covariates2 • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Extract variable names from model terms

    - Source: R/analysis_utils.R -
    extract_covariates2.Rd
    -
    - -
    -

    [Deprecated]

    -

    Takes a character vector including potentially model terms like * and : and -extracts out the individual variables. -This function is deprecated and will be removed in a future version.

    -
    - -
    -

    Usage

    - 
    extract_covariates2(x)
    -
    - -
    -

    Arguments

    - - -
    x
    -

    A character vector of model terms.

    - -
    -
    -

    Value

    -

    A character vector of unique variable names.

    -
    - -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/extract_lsm.html b/docs/reference/extract_lsm.html deleted file mode 100644 index f5b7d4f..0000000 --- a/docs/reference/extract_lsm.html +++ /dev/null @@ -1,124 +0,0 @@ - -Extract Least Squares Means — extract_lsm • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Extract Least Squares Means

    - Source: R/result_helpers.R -
    extract_lsm.Rd
    -
    - -
    -

    Convenience function to extract only least squares mean estimates from -tidy results.

    -
    - -
    -

    Usage

    - 
    extract_lsm(results, visit = NULL, arm = NULL)
    -
    - -
    -

    Arguments

    - - -
    results
    -

    A tibble from tidy_pool_obj().

    - - -
    visit
    -

    Optional character vector of visits to filter. If NULL (default), -returns results for all visits.

    - - -
    arm
    -

    Optional character: "ref" for reference arm, "alt" for alternative arm, -or NULL (default) for both.

    - -
    -
    -

    Value

    -

    A tibble containing only LSM rows.

    -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    # \donttest{
-library(rbmi)
-
-# Assuming you have a tidy result
-# tidy_result <- tidy_pool_obj(pool_obj)
-# all_lsm <- extract_lsm(tidy_result)
-# ref_lsm <- extract_lsm(tidy_result, arm = "ref")
-# }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/extract_trt_effects.html b/docs/reference/extract_trt_effects.html deleted file mode 100644 index 2c3333c..0000000 --- a/docs/reference/extract_trt_effects.html +++ /dev/null @@ -1,119 +0,0 @@ - -Extract Treatment Effect Estimates — extract_trt_effects • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Extract Treatment Effect Estimates

    - Source: R/result_helpers.R -
    extract_trt_effects.Rd
    -
    - -
    -

    Convenience function to extract only treatment comparison estimates from -tidy results, filtering out least squares means.

    -
    - -
    -

    Usage

    - 
    extract_trt_effects(results, visit = NULL)
    -
    - -
    -

    Arguments

    - - -
    results
    -

    A tibble from tidy_pool_obj().

    - - -
    visit
    -

    Optional character vector of visits to filter. If NULL (default), -returns results for all visits.

    - -
    -
    -

    Value

    -

    A tibble containing only treatment effect rows.

    -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    # \donttest{
-library(rbmi)
-
-# Assuming you have a tidy result
-# tidy_result <- tidy_pool_obj(pool_obj)
-# trt_effects <- extract_trt_effects(tidy_result)
-# trt_week24 <- extract_trt_effects(tidy_result, visit = "Week 24")
-# }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/figures/README-efficacy-table-1.png b/docs/reference/figures/README-efficacy-table-1.png deleted file mode 100644 index 02fbcfa..0000000 Binary files a/docs/reference/figures/README-efficacy-table-1.png and /dev/null differ diff --git a/docs/reference/figures/README-forest-plot-1.png b/docs/reference/figures/README-forest-plot-1.png deleted file mode 100644 index 10df0d9..0000000 Binary files a/docs/reference/figures/README-forest-plot-1.png and /dev/null differ diff --git a/docs/reference/figures/efficacy_table-example.png b/docs/reference/figures/efficacy_table-example.png deleted file mode 100644 index 02fbcfa..0000000 Binary files a/docs/reference/figures/efficacy_table-example.png and /dev/null differ diff --git a/docs/reference/figures/logo.png b/docs/reference/figures/logo.png deleted file mode 100644 index e1bc81e..0000000 Binary files a/docs/reference/figures/logo.png and /dev/null differ diff --git a/docs/reference/figures/plot_forest-trt.png b/docs/reference/figures/plot_forest-trt.png deleted file mode 100644 index 10df0d9..0000000 Binary files a/docs/reference/figures/plot_forest-trt.png and /dev/null differ diff --git a/docs/reference/figures/rbmiUtils.png b/docs/reference/figures/rbmiUtils.png deleted file mode 100644 index e1bc81e..0000000 Binary files a/docs/reference/figures/rbmiUtils.png and /dev/null differ diff --git a/docs/reference/format_estimate.html b/docs/reference/format_estimate.html deleted file mode 100644 index a732159..0000000 --- a/docs/reference/format_estimate.html +++ /dev/null @@ -1,144 +0,0 @@ - -Format Estimate with Confidence Interval — format_estimate • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Format Estimate with Confidence Interval

    - Source: R/formatting.R -
    format_estimate.Rd
    -
    - -
    -

    Formats a point estimate with its confidence interval in standard publication -format: "estimate (lower, upper)".

    -
    - -
    -

    Usage

    - 
    format_estimate(estimate, lower, upper, digits = 2, sep = ", ")
    -
    - -
    -

    Arguments

    - - -
    estimate
    -

    Numeric vector of point estimates.

    - - -
    lower
    -

    Numeric vector of lower confidence interval bounds.

    - - -
    upper
    -

    Numeric vector of upper confidence interval bounds.

    - - -
    digits
    -

    Integer. Number of decimal places for rounding. Default is 2.

    - - -
    sep
    -

    Character. Separator between lower and upper bounds. Default is ", ".

    - -
    -
    -

    Value

    -

    A character vector of formatted estimates with confidence intervals.

    -
    -
    -

    Details

    -

    The function formats estimates as "X.XX (X.XX, X.XX)" by default. All three -input vectors must have the same length. NA values in any position result -in NA_character_ for that element.

    -
    - -
    -

    Examples

    - 
    # Single estimate
-format_estimate(1.5, 0.8, 2.2)
-#> [1] "1.50 (0.80, 2.20)"
-#> "1.50 (0.80, 2.20)"
-
-# Multiple estimates
-format_estimate(
-  estimate = c(-2.5, -1.8),
-  lower = c(-4.0, -3.2),
-  upper = c(-1.0, -0.4)
-)
-#> [1] "-2.50 (-4.00, -1.00)" "-1.80 (-3.20, -0.40)"
-#> "-2.50 (-4.00, -1.00)" "-1.80 (-3.20, -0.40)"
-
-# More decimal places
-format_estimate(0.234, 0.123, 0.345, digits = 3)
-#> [1] "0.234 (0.123, 0.345)"
-#> "0.234 (0.123, 0.345)"
-
-# Different separator
-format_estimate(1.5, 0.8, 2.2, sep = " to ")
-#> [1] "1.50 (0.80 to 2.20)"
-#> "1.50 (0.80 to 2.20)"
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/format_pvalue.html b/docs/reference/format_pvalue.html deleted file mode 100644 index f363f5b..0000000 --- a/docs/reference/format_pvalue.html +++ /dev/null @@ -1,144 +0,0 @@ - -Format P-values for Publication — format_pvalue • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Format P-values for Publication

    - Source: R/formatting.R -
    format_pvalue.Rd
    -
    - -
    -

    Formats p-values according to common publication standards, with configurable -thresholds and decimal places.

    -
    - -
    -

    Usage

    - 
    format_pvalue(x, digits = 3, threshold = 0.001, html = FALSE)
    -
    - -
    -

    Arguments

    - - -
    x
    -

    A numeric vector of p-values.

    - - -
    digits
    -

    Integer. Number of decimal places for rounding. Default is 3.

    - - -
    threshold
    -

    Numeric. P-values below this threshold are displayed as -"< threshold". Default is 0.001.

    - - -
    html
    -

    Logical. If TRUE, uses HTML formatting for the less-than symbol. -Default is FALSE.

    - -
    -
    -

    Value

    -

    A character vector of formatted p-values.

    -
    -
    -

    Details

    -

    The function applies the following rules:

    • P-values below threshold are formatted as "< 0.001" (or HTML equivalent)

      • -

    • P-values >= threshold are rounded to digits decimal places

      • -

    • NA values are preserved as NA_character_

      • -

    • Values > 1 or < 0 return NA_character_ with a warning

      • -
    - -
    -

    Examples

    - 
    # Basic usage
-format_pvalue(0.0234)
-#> [1] "0.023"
-#> "0.023"
-
-format_pvalue(0.00005)
-#> [1] "< 0.001"
-#> "< 0.001"
-
-# Vector input
-pvals <- c(0.5, 0.05, 0.001, 0.0001, NA)
-format_pvalue(pvals)
-#> [1] "0.500"   "0.050"   "0.001"   "< 0.001" NA       
-#> "0.500" "0.050" "0.001" "< 0.001" NA
-
-# Custom threshold
-format_pvalue(0.005, threshold = 0.01)
-#> [1] "< 0.01"
-#> "< 0.01"
-
-# HTML output
-format_pvalue(0.0001, html = TRUE)
-#> [1] "&lt; 0.001"
-#> "&lt; 0.001"
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/format_results.html b/docs/reference/format_results.html deleted file mode 100644 index f6d022f..0000000 --- a/docs/reference/format_results.html +++ /dev/null @@ -1,139 +0,0 @@ - -Format Results for Reporting — format_results • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Format Results for Reporting

    - Source: R/result_helpers.R -
    format_results.Rd
    -
    - -
    -

    Formats a tidy results tibble for publication-ready reporting, with options -for rounding, confidence interval formatting, and column selection.

    -
    - -
    -

    Usage

    - 
    format_results(
-  results,
-  digits = 2,
-  ci_format = c("parens", "brackets", "dash"),
-  pval_digits = 3,
-  include_se = FALSE
-)
    -
    - -
    -

    Arguments

    - - -
    results
    -

    A tibble from tidy_pool_obj() or combine_results().

    - - -
    digits
    -

    Integer specifying the number of decimal places for estimates. -Default is 2.

    - - -
    ci_format
    -

    Character string specifying CI format. Options are: -"parens" for "(LCI, UCI)", "brackets" for "\[LCI, UCI\]", or "dash" for -"LCI - UCI". Default is "parens".

    - - -
    pval_digits
    -

    Integer specifying decimal places for p-values. Default is 3.

    - - -
    include_se
    -

    Logical indicating whether to include standard error column. -Default is FALSE.

    - -
    -
    -

    Value

    -

    A tibble with formatted columns suitable for reporting.

    -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    # \donttest{
-library(rbmi)
-
-# Assuming you have a tidy result
-# tidy_result <- tidy_pool_obj(pool_obj)
-# formatted <- format_results(tidy_result, digits = 3, ci_format = "brackets")
-# }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/format_results_table.html b/docs/reference/format_results_table.html deleted file mode 100644 index 94a4452..0000000 --- a/docs/reference/format_results_table.html +++ /dev/null @@ -1,175 +0,0 @@ - -Format Results Table for Publication — format_results_table • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Format Results Table for Publication

    - Source: R/formatting.R -
    format_results_table.Rd
    -
    - -
    -

    Adds formatted columns to a tidy results table, creating publication-ready -output with properly formatted estimates, confidence intervals, and p-values.

    -
    - -
    -

    Usage

    - 
    format_results_table(
-  data,
-  est_col = "est",
-  lci_col = "lci",
-  uci_col = "uci",
-  pval_col = "pval",
-  est_digits = 2,
-  pval_digits = 3,
-  pval_threshold = 0.001,
-  ci_sep = ", "
-)
    -
    - -
    -

    Arguments

    - - -
    data
    -

    A data.frame or tibble, typically output from tidy_pool_obj().

    - - -
    est_col
    -

    Character. Name of the estimate column. Default is "est".

    - - -
    lci_col
    -

    Character. Name of the lower CI column. Default is "lci".

    - - -
    uci_col
    -

    Character. Name of the upper CI column. Default is "uci".

    - - -
    pval_col
    -

    Character. Name of the p-value column. Default is "pval".

    - - -
    est_digits
    -

    Integer. Decimal places for estimates. Default is 2.

    - - -
    pval_digits
    -

    Integer. Decimal places for p-values. Default is 3.

    - - -
    pval_threshold
    -

    Numeric. Threshold for p-value formatting. Default is 0.001.

    - - -
    ci_sep
    -

    Character. Separator for CI bounds. Default is ", ".

    - -
    -
    -

    Value

    -

    A tibble with additional formatted columns:

    est_ci
    -

    Formatted estimate with confidence interval

    - -
    pval_fmt
    -

    Formatted p-value

    - - -
    -
    -

    Details

    -

    This function is designed to work with output from tidy_pool_obj() but -can be used with any data.frame containing estimate, CI, and p-value columns. -The original columns are preserved; new formatted columns are added.

    -
    - -
    -

    Examples

    - 
    library(dplyr)
-
-# Create example results
-results <- tibble::tibble(
-  parameter = c("trt_Week24", "lsm_ref_Week24", "lsm_alt_Week24"),
-  description = c("Treatment Effect", "LS Mean (Reference)", "LS Mean (Treatment)"),
-  est = c(-2.45, 5.20, 2.75),
-  se = c(0.89, 0.65, 0.71),
-  lci = c(-4.20, 3.93, 1.36),
-  uci = c(-0.70, 6.47, 4.14),
-  pval = c(0.006, NA, NA)
-)
-
-# Format for publication
-formatted <- format_results_table(results)
-print(formatted[, c("description", "est_ci", "pval_fmt")])
-#> # A tibble: 3 × 3
-#>   description         est_ci               pval_fmt
-#>   <chr>               <chr>                <chr>   
-#> 1 Treatment Effect    -2.45 (-4.20, -0.70) 0.006   
-#> 2 LS Mean (Reference) 5.20 (3.93, 6.47)    NA      
-#> 3 LS Mean (Treatment) 2.75 (1.36, 4.14)    NA      
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/gcomp_binary.html b/docs/reference/gcomp_binary.html deleted file mode 100644 index 2d4f2b7..0000000 --- a/docs/reference/gcomp_binary.html +++ /dev/null @@ -1,184 +0,0 @@ - -Utility function for Generalized G-computation for Binary Outcomes — gcomp_binary • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Utility function for Generalized G-computation for Binary Outcomes

    - Source: R/utils.R -
    gcomp_binary.Rd
    -
    - -
    -

    Wrapper function for targeting a marginal treatment effect -using g-computation using the beeca package. Intended for binary endpoints.

    -
    - -
    -

    Usage

    - 
    gcomp_binary(
-  data,
-  outcome = "CRIT1FLN",
-  treatment = "TRT",
-  covariates = c("BASE", "STRATA", "REGION"),
-  reference = "Placebo",
-  contrast = "diff",
-  method = "Ge",
-  type = "HC0",
-  ...
-)
    -
    - -
    -

    Arguments

    - - -
    data
    -

    A data.frame containing the analysis dataset.

    - - -
    outcome
    -

    Name of the binary outcome variable (as string).

    - - -
    treatment
    -

    Name of the treatment variable (as string).

    - - -
    covariates
    -

    Character vector of covariate names to adjust for.

    - - -
    reference
    -

    Reference level for the treatment variable (default: "Placebo").

    - - -
    contrast
    -

    Type of contrast to compute (default: "diff").

    - - -
    method
    -

    Marginal estimation method for variance (default: "Ge").

    - - -
    type
    -

    Variance estimator type (default: "HC0").

    - - -
    ...
    -

    Additional arguments passed to beeca::get_marginal_effect().

    - -
    -
    -

    Value

    -

    A named list with treatment effect estimate, standard error, and degrees of freedom (if applicable).

    -
    - -
    -

    Examples

    - 
    # Load required packages
-library(rbmiUtils)
-library(beeca)      # for get_marginal_effect()
-#> 
-#> Attaching package: ‘beeca’
-#> The following objects are masked from ‘package:rbmiUtils’:
-#> 
-#>     format_pvalue, plot_forest
-library(dplyr)
-# Load example data
-data("ADMI")
-# Ensure correct factor levels
-ADMI <- ADMI |>
-  mutate(
-    TRT = factor(TRT, levels = c("Placebo", "Drug A")),
-    STRATA = factor(STRATA),
-    REGION = factor(REGION)
-  )
-# Apply g-computation for binary responder
-result <- gcomp_binary(
-  data = ADMI,
-  outcome = "CRIT1FLN",
-  treatment = "TRT",
-  covariates = c("BASE", "STRATA", "REGION"),
-  reference = "Placebo",
-  contrast = "diff",
-  method = "Ge",    # from beeca: GEE robust sandwich estimator
-  type = "HC0"      # from beeca: heteroskedasticity-consistent SE
-)
-
-# Print results
-print(result)
-#> $trt
-#> $trt$est
-#> [1] -0.0632916
-#> 
-#> $trt$se
-#> [1] 0.001189759
-#> 
-#> $trt$df
-#> [1] NA
-#> 
-#> 
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/gcomp_responder.html b/docs/reference/gcomp_responder.html deleted file mode 100644 index 54e4a65..0000000 --- a/docs/reference/gcomp_responder.html +++ /dev/null @@ -1,189 +0,0 @@ - -G-computation Analysis for a Single Visit — gcomp_responder • rbmiUtils - Skip to contents - - -
    -
    -
    -

    G-computation Analysis for a Single Visit

    - Source: R/analysis_utils.R -
    gcomp_responder.Rd
    -
    - -
    -

    Performs logistic regression and estimates marginal effects for binary outcomes.

    -
    - -
    -

    Usage

    - 
    gcomp_responder(
-  data,
-  vars,
-  reference_levels = NULL,
-  var_method = "Ge",
-  type = "HC0",
-  contrast = "diff"
-)
    -
    - -
    -

    Arguments

    - - -
    data
    -

    A data.frame with one visit of data.

    - - -
    vars
    -

    A list containing group, outcome, covariates, and visit.

    - - -
    reference_levels
    -

    Optional vector specifying reference level(s) of the treatment factor.

    - - -
    var_method
    -

    Marginal variance estimation method (default: "Ge").

    - - -
    type
    -

    Type of robust variance estimator (default: "HC0").

    - - -
    contrast
    -

    Type of contrast to compute (default: "diff").

    - -
    -
    -

    Value

    -

    A named list containing estimates and standard errors for treatment comparisons and within-arm means.

    -
    - -
    -

    Examples

    - 
    # \donttest{
-library(dplyr)
-library(rbmi)
-library(rbmiUtils)
-
-data("ADMI")
-
-# Prepare data for a single visit
-ADMI <- ADMI |>
-  mutate(
-    TRT = factor(TRT, levels = c("Placebo", "Drug A")),
-    STRATA = factor(STRATA),
-    REGION = factor(REGION)
-  )
-
-dat_single <- ADMI |>
-  filter(AVISIT == "Week 24")
-
-vars <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CRIT1FLN",
-  covariates = c("BASE", "STRATA", "REGION")
-)
-
-result <- gcomp_responder(
-  data = dat_single,
-  vars = vars,
-  reference_levels = "Placebo"
-)
-
-print(result)
-#> $`trt_Drug A-Placebo`
-#> $`trt_Drug A-Placebo`$est
-#> [1] -0.03081266
-#> 
-#> $`trt_Drug A-Placebo`$se
-#> [1] 0.001122321
-#> 
-#> $`trt_Drug A-Placebo`$df
-#> [1] NA
-#> 
-#> 
-#> $`lsm_Drug A`
-#> $`lsm_Drug A`$est
-#> [1] 7.701861e-05
-#> 
-#> $`lsm_Drug A`$se
-#> [1] 5.448088e-05
-#> 
-#> $`lsm_Drug A`$df
-#> [1] NA
-#> 
-#> 
-#> $lsm_Placebo
-#> $lsm_Placebo$est
-#> [1] 0.03088968
-#> 
-#> $lsm_Placebo$se
-#> [1] 0.001120489
-#> 
-#> $lsm_Placebo$df
-#> [1] NA
-#> 
-#> 
-# }
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/gcomp_responder_multi.html b/docs/reference/gcomp_responder_multi.html deleted file mode 100644 index 6b0d6b6..0000000 --- a/docs/reference/gcomp_responder_multi.html +++ /dev/null @@ -1,169 +0,0 @@ - -G-computation for a Binary Outcome at Multiple Visits — gcomp_responder_multi • rbmiUtils - Skip to contents - - -
    -
    -
    -

    G-computation for a Binary Outcome at Multiple Visits

    - Source: R/analysis_utils.R -
    gcomp_responder_multi.Rd
    -
    - -
    -

    Applies gcomp_responder() separately for each unique visit in the data.

    -
    - -
    -

    Usage

    - 
    gcomp_responder_multi(data, vars, reference_levels = NULL, ...)
    -
    - -
    -

    Arguments

    - - -
    data
    -

    A data.frame containing multiple visits.

    - - -
    vars
    -

    A list specifying analysis variables.

    - - -
    reference_levels
    -

    Optional reference level for the treatment variable.

    - - -
    ...
    -

    Additional arguments passed to gcomp_responder().

    - -
    -
    -

    Value

    -

    A named list of estimates for each visit and treatment group.

    -
    - -
    -

    Examples

    - 
    # \donttest{
-library(dplyr)
-library(rbmi)
-library(rbmiUtils)
-
-data("ADMI")
-
-ADMI <- ADMI |>
-  mutate(
-    TRT = factor(TRT, levels = c("Placebo", "Drug A")),
-    STRATA = factor(STRATA),
-    REGION = factor(REGION)
-  )
-
-# Note: method must match the original used for imputation
-method <- method_bayes(
-  n_samples = 100,
-  control = control_bayes(warmup = 20, thin = 2)
-)
-
-vars_binary <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CRIT1FLN",
-  covariates = c("BASE", "STRATA", "REGION")
-)
-
-ana_obj_prop <- analyse_mi_data(
-  data = ADMI,
-  vars = vars_binary,
-  method = method,
-  fun = gcomp_responder_multi,
-  reference_levels = "Placebo",
-  contrast = "diff",
-  var_method = "Ge",
-  type = "HC0"
-)
-
-pool(ana_obj_prop)
-#> 
-#> Pool Object
-#> -----------
-#> Number of Results Combined: 100
-#> Method: rubin
-#> Confidence Level: 0.95
-#> Alternative: two.sided
-#> 
-#> Results:
-#> 
-#>   ===================================================================
-#>            parameter            est     se     lci     uci     pval  
-#>   -------------------------------------------------------------------
-#>    trt_Drug A-Placebo_Week 24  -0.031  0.012  -0.053  -0.008  0.007  
-#>        lsm_Drug A_Week 24        0     0.001  -0.001  0.002   0.921  
-#>       lsm_Placebo_Week 24      0.031   0.011  0.008   0.053   0.007  
-#>    trt_Drug A-Placebo_Week 48  -0.096  0.021  -0.137  -0.054  <0.001 
-#>        lsm_Drug A_Week 48      0.007   0.005  -0.003  0.017    0.15  
-#>       lsm_Placebo_Week 48      0.103   0.021  0.063   0.143   <0.001 
-#>   -------------------------------------------------------------------
-#> 
-# }
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/get_imputed_data.html b/docs/reference/get_imputed_data.html deleted file mode 100644 index 7f82103..0000000 --- a/docs/reference/get_imputed_data.html +++ /dev/null @@ -1,179 +0,0 @@ - -Get Imputed Data Sets as a data frame — get_imputed_data • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Get Imputed Data Sets as a data frame

    - Source: R/utils.R -
    get_imputed_data.Rd
    -
    - -
    -

    This function takes an imputed dataset and a mapping variable to return a dataset -with the original IDs mapped back and renamed appropriately.

    -
    - -
    -

    Usage

    - 
    get_imputed_data(impute_obj)
    -
    - -
    -

    Arguments

    - - -
    impute_obj
    -

    The imputation object from which the imputed datasets are extracted.

    - -
    -
    -

    Value

    -

    A data frame with the original subject IDs mapped and renamed.

    -
    - -
    -

    Examples

    - 
    # \donttest{
-library(dplyr)
-library(rbmi)
-library(rbmiUtils)
-
-set.seed(1974)
-# Load example dataset
-data("ADEFF")
-
-# Prepare data
-ADEFF <- ADEFF |>
-  mutate(
-    TRT = factor(TRT01P, levels = c("Placebo", "Drug A")),
-    USUBJID = factor(USUBJID),
-    AVISIT = factor(AVISIT)
-  )
-
-# Define variables for imputation
-vars <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CHG",
-  covariates = c("BASE", "STRATA", "REGION")
-)
-
-# Define Bayesian imputation method
-method <- method_bayes(
-  n_samples = 100,
-  control = control_bayes(warmup = 200, thin = 2)
-)
-
-# Generate draws and perform imputation
-draws_obj <- draws(data = ADEFF, vars = vars, method = method)
-#> 
-#> SAMPLING FOR MODEL 'rbmi_MMRM_us_default' NOW (CHAIN 1).
-#> Chain 1: 
-#> Chain 1: Gradient evaluation took 0.000224 seconds
-#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.24 seconds.
-#> Chain 1: Adjust your expectations accordingly!
-#> Chain 1: 
-#> Chain 1: 
-#> Chain 1: Iteration:   1 / 400 [  0%]  (Warmup)
-#> Chain 1: Iteration:  40 / 400 [ 10%]  (Warmup)
-#> Chain 1: Iteration:  80 / 400 [ 20%]  (Warmup)
-#> Chain 1: Iteration: 120 / 400 [ 30%]  (Warmup)
-#> Chain 1: Iteration: 160 / 400 [ 40%]  (Warmup)
-#> Chain 1: Iteration: 200 / 400 [ 50%]  (Warmup)
-#> Chain 1: Iteration: 201 / 400 [ 50%]  (Sampling)
-#> Chain 1: Iteration: 240 / 400 [ 60%]  (Sampling)
-#> Chain 1: Iteration: 280 / 400 [ 70%]  (Sampling)
-#> Chain 1: Iteration: 320 / 400 [ 80%]  (Sampling)
-#> Chain 1: Iteration: 360 / 400 [ 90%]  (Sampling)
-#> Chain 1: Iteration: 400 / 400 [100%]  (Sampling)
-#> Chain 1: 
-#> Chain 1:  Elapsed Time: 0.318 seconds (Warm-up)
-#> Chain 1:                0.245 seconds (Sampling)
-#> Chain 1:                0.563 seconds (Total)
-#> Chain 1: 
-#> Warning: The Effective Sample Size is below 40% for 1 parameters. Please consider increasing burn-in and/or burn-between, or the number of samples
-impute_obj <- impute(draws_obj,
-  references = c("Placebo" = "Placebo", "Drug A" = "Placebo"))
-
-# Extract imputed data with original subject IDs
-admi <- get_imputed_data(impute_obj)
-head(admi)
-#>   IMPID internal_id STRATA        REGION REGIONC TRT01P BASE  AVISIT AVAL
-#> 1     1    new_pt_1      A North America       1 Drug A   16 Week 24   12
-#> 2     1    new_pt_1      A North America       1 Drug A   16 Week 48   13
-#> 3     1    new_pt_2      A          Asia       4 Drug A   10 Week 24    7
-#> 4     1    new_pt_2      A          Asia       4 Drug A   10 Week 48    5
-#> 5     1    new_pt_3      A South America       2 Drug A   12 Week 24    9
-#> 6     1    new_pt_3      A South America       2 Drug A   12 Week 48   10
-#>          PARAM CHG    TRT USUBJID
-#> 1 ESSDAI score  -4 Drug A   ID001
-#> 2 ESSDAI score  -3 Drug A   ID001
-#> 3 ESSDAI score  -3 Drug A   ID002
-#> 4 ESSDAI score  -5 Drug A   ID002
-#> 5 ESSDAI score  -3 Drug A   ID003
-#> 6 ESSDAI score  -2 Drug A   ID003
-# }
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/index.html b/docs/reference/index.html deleted file mode 100644 index e488fb6..0000000 --- a/docs/reference/index.html +++ /dev/null @@ -1,370 +0,0 @@ - -Package index • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Package index

    -
    - -
    -

    Data Preparation

    - -

    Validate and prepare data before imputation

    - - -
    - - - - -
    - - validate_data() - -
    -
    Validate Data Before Imputation
    -
    - - prepare_data_ice() - -
    -
    Prepare Intercurrent Event Data
    -
    - - summarise_missingness() - -
    -
    Summarise Missing Data Patterns
    -
    -

    Analysis

    - -

    Apply analysis functions across imputed datasets

    - - -
    - - - - -
    - - analyse_mi_data() - -
    -
    Apply Analysis Function to Multiple Imputed Datasets
    -
    - - gcomp_responder() - -
    -
    G-computation Analysis for a Single Visit
    -
    - - gcomp_responder_multi() - -
    -
    G-computation for a Binary Outcome at Multiple Visits
    -
    - - gcomp_binary() - -
    -
    Utility function for Generalized G-computation for Binary Outcomes
    -
    -

    Tidying

    - -

    Tidy and extract results from pooled objects

    - - -
    - - - - -
    - - tidy_pool_obj() - -
    -
    Tidy and Annotate a Pooled Object for Publication
    -
    - - extract_trt_effects() - -
    -
    Extract Treatment Effect Estimates
    -
    - - extract_lsm() - -
    -
    Extract Least Squares Means
    -
    -

    Reporting

    - -

    Publication-ready tables and plots

    - - -
    - - - - -
    - - efficacy_table() - -
    -
    Create Regulatory-Style Efficacy Summary Table
    -
    - - plot_forest() - -
    -
    Create a Forest Plot from an rbmi Pool Object
    -
    -

    Introspection

    - -

    Inspect draws, imputations, and MI diagnostics

    - - -
    - - - - -
    - - describe_draws() - -
    -
    Describe an rbmi Draws Object
    -
    - - describe_imputation() - -
    -
    Describe an rbmi Imputation Object
    -
    -

    Formatting

    - -

    Format values for publication

    - - -
    - - - - -
    - - format_pvalue() - -
    -
    Format P-values for Publication
    -
    - - format_estimate() - -
    -
    Format Estimate with Confidence Interval
    -
    - - format_results_table() - -
    -
    Format Results Table for Publication
    -
    - - format_results() - -
    -
    Format Results for Reporting
    -
    -

    Storage

    - -

    Efficient storage of imputed datasets

    - - -
    - - - - -
    - - reduce_imputed_data() - -
    -
    Reduce Imputed Data for Efficient Storage
    -
    - - expand_imputed_data() - -
    -
    Expand Reduced Imputed Data to Full Dataset
    -
    -

    Utilities

    - -

    Helper functions for imputed data workflows

    - - -
    - - - - -
    - - get_imputed_data() - -
    -
    Get Imputed Data Sets as a data frame
    -
    - - create_impid() - -
    -
    Create IMPID Column for Imputed Datasets
    -
    - - combine_results() - -
    -
    Combine Results Across Multiple Analyses
    -
    - - pool_to_ard() - -
    -
    Convert Pool Object to ARD Format
    -
    - - -

    S3 methods for inspecting rbmiUtils objects

    - - -
    - - - - -
    - - print(<analysis>) - -
    -
    Print Method for Analysis Objects
    -
    - - print(<describe_draws>) - -
    -
    Print Method for describe_draws Objects
    -
    - - print(<describe_imputation>) - -
    -
    Print Method for describe_imputation Objects
    -
    - - print(<pool>) - -
    -
    Print Method for Pool Objects
    -
    - - summary(<analysis>) - -
    -
    Summary Method for Analysis Objects
    -
    - - summary(<pool>) - -
    -
    Summary Method for Pool Objects
    -
    -

    Datasets

    - -

    Example datasets for demonstrations

    - - -
    - - - - -
    - - ADEFF - -
    -
    Example efficacy trial dataset
    -
    - - ADMI - -
    -
    Example multiple imputation trial dataset
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/plot_forest.html b/docs/reference/plot_forest.html deleted file mode 100644 index af62dbd..0000000 --- a/docs/reference/plot_forest.html +++ /dev/null @@ -1,248 +0,0 @@ - -Create a Forest Plot from an rbmi Pool Object — plot_forest • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Create a Forest Plot from an rbmi Pool Object

    - Source: R/plot_forest.R -
    plot_forest.Rd
    -
    - -
    -

    Takes an rbmi pool object and produces a publication-quality, three-panel -forest plot using ggplot2 and patchwork. The plot displays treatment effect -point estimates with confidence interval whiskers, an aligned table panel -showing formatted estimates, and a p-value panel.

    -
    - -
    -

    Usage

    - 
    plot_forest(
-  pool_obj,
-  display = c("trt", "lsm"),
-  ref_value = NULL,
-  ci_level = NULL,
-  arm_labels = NULL,
-  title = NULL,
-  text_size = 3.5,
-  point_size = 3.5,
-  show_pvalues = TRUE,
-  font_family = NULL,
-  panel_widths = NULL
-)
    -
    - -
    -

    Arguments

    - - -
    pool_obj
    -

    A pooled analysis object of class "pool", typically -obtained from rbmi::pool() after calling analyse_mi_data().

    - - -
    display
    -

    Character string specifying the display mode. "trt" -(the default) shows treatment differences across visits. "lsm" shows -LS mean estimates by treatment arm with color-coded points.

    - - -
    ref_value
    -

    Numeric. The reference value for the vertical reference -line. Default is 0 for display = "trt" and NULL (no line) for -display = "lsm". Set explicitly to override.

    - - -
    ci_level
    -

    Numeric. Confidence level for CI labeling. If NULL -(the default), extracted from pool_obj$conf.level. Falls back to 0.95 if -neither is available.

    - - -
    arm_labels
    -

    Named character vector with elements "ref" and "alt" -providing custom labels for the reference and treatment arms when -display = "lsm". If NULL (the default), uses "Reference" and -"Treatment".

    - - -
    title
    -

    Optional character string for the plot title.

    - - -
    text_size
    -

    Numeric. Text size for the table and p-value panels. -Default is 3.5.

    - - -
    point_size
    -

    Numeric. Point size for the forest plot. Default is 3.5.

    - - -
    show_pvalues
    -

    Logical. Whether to display the p-value panel on the -right side of the plot. Default is TRUE. Set to FALSE for a cleaner -two-panel layout without p-values.

    - - -
    font_family
    -

    Optional character string specifying the font family for -all text in the plot. When NULL (default), uses ggplot2's default font -(typically sans-serif). Applied to all geom_text layers and the forest -panel theme.

    - - -
    panel_widths
    -

    Optional numeric vector controlling the relative widths -of the plot panels. When show_pvalues = TRUE, must be length 3 (table, -forest, p-value panels). When show_pvalues = FALSE, must be length 2 -(table, forest panels). When NULL (default), uses c(3, 4, 1.5) for -3-panel and c(3, 5) for 2-panel layouts.

    - -
    -
    -

    Value

    -

    A patchwork/ggplot object that can be further customized using -& theme() to modify all panels simultaneously.

    -
    -
    -

    Details

    -

    The function calls tidy_pool_obj() internally to parse the pool object, -then constructs a three-panel composition:

    • Left panel: Visit labels and formatted estimate with CI text

      • -

    • Middle panel: Forest plot with point estimates and CI whiskers

      • -

    • Right panel: Formatted p-values

      • -

    Display modes:

    • "trt" – Treatment differences with a reference line at zero -(or custom ref_value). Significant results (CI excludes reference) -are shown as filled circles; non-significant as open circles.

      • -

    • "lsm" – LS mean estimates by treatment arm, color-coded using -the Okabe-Ito colorblind-friendly palette (blue for reference, -vermilion for treatment). Points are dodged vertically within -each visit.

      • -

    Customization: The returned patchwork object supports & theme() for -applying theme changes to all panels. For example: -plot_forest(pool_obj) & theme(text = element_text(size = 14)).

    -

    Suggested dimensions for regulatory documents: For A4 or US Letter page -sizes, width = 10, height = 3 + 0.4 * n_visits (in inches) provides good -results when saving with ggplot2::ggsave(). For example, a 5-visit plot -works well at 10 x 5 inches.

    -

    Example output (treatment difference mode):

    -

    -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    # \donttest{
-if (requireNamespace("ggplot2", quietly = TRUE) &&
-    requireNamespace("patchwork", quietly = TRUE)) {
-  library(rbmi)
-  data("ADMI", package = "rbmiUtils")
-  ADMI$TRT <- factor(ADMI$TRT, levels = c("Placebo", "Drug A"))
-  ADMI$USUBJID <- factor(ADMI$USUBJID)
-  ADMI$AVISIT <- factor(ADMI$AVISIT)
-
-  vars <- set_vars(
-    subjid = "USUBJID", visit = "AVISIT", group = "TRT",
-    outcome = "CHG", covariates = c("BASE", "STRATA", "REGION")
-  )
-  method <- method_bayes(
-    n_samples = 20,
-    control = control_bayes(warmup = 20, thin = 1)
-  )
-
-  ana_obj <- analyse_mi_data(ADMI, vars, method, fun = ancova)
-  pool_obj <- pool(ana_obj)
-
-  # Treatment difference forest plot
-  plot_forest(pool_obj, arm_labels = c(ref = "Placebo", alt = "Drug A"))
-
-  # LSM display with custom panel widths
-  plot_forest(
-    pool_obj,
-    display = "lsm",
-    arm_labels = c(ref = "Placebo", alt = "Drug A"),
-    title = "LS Mean Estimates by Visit",
-    panel_widths = c(3, 5, 1.5)
-  )
-}
-#> Warning: Data contains 100 imputations but method expects 20. Using first 20
-#> imputations.
-#> Error in UseMethod("tidy"): no applicable method for 'tidy' applied to an object of class "pool"
-# }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/pool_to_ard.html b/docs/reference/pool_to_ard.html deleted file mode 100644 index c326100..0000000 --- a/docs/reference/pool_to_ard.html +++ /dev/null @@ -1,185 +0,0 @@ - -Convert Pool Object to ARD Format — pool_to_ard • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Convert Pool Object to ARD Format

    - Source: R/ard_conversion.R -
    pool_to_ard.Rd
    -
    - -
    -

    Converts an rbmi pool object to the pharmaverse Analysis Results Dataset -(ARD) standard using the cards package. The ARD format is a -long-format data frame where each row represents a single statistic for a -given parameter, with grouping columns for visit, parameter type, and -least-squares-mean type.

    -
    - -
    -

    Usage

    - 
    pool_to_ard(pool_obj, analysis_obj = NULL, conf.level = NULL)
    -
    - -
    -

    Arguments

    - - -
    pool_obj
    -

    A pooled analysis object of class "pool", typically -obtained from rbmi::pool() after calling analyse_mi_data().

    - - -
    analysis_obj
    -

    An optional analysis object (output of -analyse_mi_data()), used to compute MI diagnostic statistics. When -provided and the pooling method is Rubin's rules, the ARD includes -additional stat rows for FMI, lambda, RIV, Barnard-Rubin adjusted df, -complete-data df, relative efficiency, and the number of imputations per -parameter. When NULL (the default), only the base ARD is returned.

    - - -
    conf.level
    -

    Confidence level used for CI labels (e.g., 0.95 produces -"95% CI Lower"). If NULL (the default), the value is taken from -pool_obj$conf.level. If that is also NULL, defaults to 0.95.

    - -
    -
    -

    Value

    -

    A data frame of class "card" (ARD format) with grouping columns -for visit (group1), parameter_type (group2), and lsm_type (group3). -Each parameter produces rows for five statistics: estimate, std.error, -conf.low, conf.high, and p.value, plus a method row. When analysis_obj -is provided and the pooling method is Rubin's rules, additional diagnostic -stat rows are included: fmi, lambda, riv, df.adjusted, df.complete, re, -and m.imputations.

    -
    -
    -

    Details

    -

    The function works by:

    1. Tidying the pool object via tidy_pool_obj()

      2. -

    2. Reshaping each parameter into long-format ARD rows (one row per statistic)

      3. -

    3. Adding grouping columns (visit, parameter_type, lsm_type)

      4. -

    4. Optionally enriching with MI diagnostic statistics when analysis_obj -is provided

      5. -

    5. Applying cards::as_card() and cards::tidy_ard_column_order() for -standard ARD structure

      6. -

    When analysis_obj is provided:

    • For Rubin's rules pooling: diagnostic statistics (FMI, lambda, RIV, -Barnard-Rubin adjusted df, relative efficiency) are computed per parameter -using the per-imputation estimates, standard errors, and degrees of freedom.

      • -

    • For non-Rubin pooling methods: an informative message is emitted and the -base ARD is returned without diagnostic rows.

      • -

    The resulting ARD passes cards::check_ard_structure() validation and is -suitable for downstream use with gtsummary.

    -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    # \donttest{
-if (requireNamespace("cards", quietly = TRUE)) {
-  library(rbmi)
-  data("ADMI", package = "rbmiUtils")
-  ADMI$TRT <- factor(ADMI$TRT, levels = c("Placebo", "Drug A"))
-  ADMI$USUBJID <- factor(ADMI$USUBJID)
-  ADMI$AVISIT <- factor(ADMI$AVISIT)
-
-  vars <- set_vars(
-    subjid = "USUBJID", visit = "AVISIT", group = "TRT",
-    outcome = "CHG", covariates = c("BASE", "STRATA", "REGION")
-  )
-  method <- method_bayes(
-    n_samples = 20,
-    control = control_bayes(warmup = 20, thin = 1)
-  )
-
-  ana_obj <- analyse_mi_data(ADMI, vars, method, fun = ancova)
-  pool_obj <- pool(ana_obj)
-
-  # Base ARD
-  ard <- pool_to_ard(pool_obj)
-
-  # Enriched ARD with MI diagnostics (FMI, lambda, RIV, df)
-  ard_diag <- pool_to_ard(pool_obj, analysis_obj = ana_obj)
-}
-#> Warning: Data contains 100 imputations but method expects 20. Using first 20
-#> imputations.
-# }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/prepare_data_ice.html b/docs/reference/prepare_data_ice.html deleted file mode 100644 index 4da9329..0000000 --- a/docs/reference/prepare_data_ice.html +++ /dev/null @@ -1,150 +0,0 @@ - -Prepare Intercurrent Event Data — prepare_data_ice • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Prepare Intercurrent Event Data

    - Source: R/data_helpers.R -
    prepare_data_ice.Rd
    -
    - -
    -

    Builds a data_ice data.frame from a column in the dataset that flags -intercurrent events. For each subject, the first visit (by factor level -order) where the flag is TRUE is used as the ICE visit.

    -
    - -
    -

    Usage

    - 
    prepare_data_ice(data, vars, ice_col, strategy)
    -
    - -
    -

    Arguments

    - - -
    data
    -

    A data.frame containing the analysis dataset.

    - - -
    vars
    -

    A vars object as created by rbmi::set_vars().

    - - -
    ice_col
    -

    Character string naming the column in data that indicates -ICE occurrence. Accepted values are logical (TRUE/FALSE), character -("Y"/"N"), or numeric (1/0).

    - - -
    strategy
    -

    Character string specifying the imputation strategy to assign. -Must be one of "MAR", "CR", "JR", "CIR", or "LMCF".

    - -
    -
    -

    Value

    -

    A data.frame with columns corresponding to vars$subjid, -vars$visit, and vars$strategy, suitable for passing to -rbmi::draws().

    -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    library(rbmi)
-
-dat <- data.frame(
-  USUBJID = factor(rep(c("S1", "S2", "S3"), each = 3)),
-  AVISIT = factor(rep(c("Week 4", "Week 8", "Week 12"), 3),
-                  levels = c("Week 4", "Week 8", "Week 12")),
-  TRT = factor(rep(c("Placebo", "Drug A", "Drug A"), each = 3)),
-  CHG = rnorm(9),
-  DISCFL = c("N","N","N", "N","Y","Y", "N","N","Y")
-)
-
-vars <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CHG"
-)
-
-ice <- prepare_data_ice(dat, vars, ice_col = "DISCFL", strategy = "JR")
-print(ice)
-#>   USUBJID  AVISIT strategy
-#> 1      S2  Week 8       JR
-#> 2      S3 Week 12       JR
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/print.analysis.html b/docs/reference/print.analysis.html deleted file mode 100644 index 117d907..0000000 --- a/docs/reference/print.analysis.html +++ /dev/null @@ -1,126 +0,0 @@ - -Print Method for Analysis Objects — print.analysis • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Print Method for Analysis Objects

    - Source: R/analyse_mi_data.R -
    print.analysis.Rd
    -
    - -
    -

    Prints a summary of an analysis object from analyse_mi_data().

    -
    - -
    -

    Usage

    - 
    # S3 method for class 'analysis'
-print(x, ...)
    -
    - -
    -

    Arguments

    - - -
    x
    -

    An object of class analysis.

    - - -
    ...
    -

    Additional arguments (currently unused).

    - -
    -
    -

    Value

    -

    Invisibly returns the input object.

    -
    - -
    -

    Examples

    - 
    # \donttest{
-library(rbmi)
-library(rbmiUtils)
-data("ADMI")
-
-# Create analysis object
-vars <- set_vars(
-  subjid = "USUBJID", visit = "AVISIT", group = "TRT",
-  outcome = "CHG", covariates = c("BASE", "STRATA")
-)
-method <- method_bayes(n_samples = 10, control = control_bayes(warmup = 10))
-
-ana_obj <- analyse_mi_data(ADMI, vars, method, fun = function(d, v, ...) 1)
-#> Warning: Data contains 100 imputations but method expects 10. Using first 10
-#> imputations.
-print(ana_obj)
-#> 
-#> Analysis Object
-#> ---------------
-#> Number of Results: 10
-#> Analysis Function: <Anonymous Function>
-#> Delta Applied: FALSE
-#> Analysis Estimates:
-#> 
-# }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/print.describe_draws.html b/docs/reference/print.describe_draws.html deleted file mode 100644 index 413a316..0000000 --- a/docs/reference/print.describe_draws.html +++ /dev/null @@ -1,106 +0,0 @@ - -Print Method for describe_draws Objects — print.describe_draws • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Print Method for describe_draws Objects

    - Source: R/describe.R -
    print.describe_draws.Rd
    -
    - -
    -

    Displays a formatted summary of a draws description using cli formatting.

    -
    - -
    -

    Usage

    - 
    # S3 method for class 'describe_draws'
-print(x, ...)
    -
    - -
    -

    Arguments

    - - -
    x
    -

    A describe_draws object from describe_draws().

    - - -
    ...
    -

    Additional arguments (currently unused).

    - -
    -
    -

    Value

    -

    Invisibly returns x (for pipe chaining).

    -
    - -
    -

    Examples

    - 
    if (FALSE) { # \dontrun{
-# After creating draws_obj via the rbmi pipeline (see describe_draws):
-desc <- describe_draws(draws_obj)
-print(desc)  # Formatted cli output with method, formula, samples, convergence
-} # }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/print.describe_imputation.html b/docs/reference/print.describe_imputation.html deleted file mode 100644 index a280efa..0000000 --- a/docs/reference/print.describe_imputation.html +++ /dev/null @@ -1,112 +0,0 @@ - -Print Method for describe_imputation Objects — print.describe_imputation • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Print Method for describe_imputation Objects

    - Source: R/describe.R -
    print.describe_imputation.Rd
    -
    - -
    -

    Displays a formatted summary of an imputation description using cli -formatting, including method, number of imputations, reference arm -mappings, and a missingness breakdown by visit and treatment arm.

    -
    - -
    -

    Usage

    - 
    # S3 method for class 'describe_imputation'
-print(x, ...)
    -
    - -
    -

    Arguments

    - - -
    x
    -

    A describe_imputation object from describe_imputation().

    - - -
    ...
    -

    Additional arguments (currently unused).

    - -
    -
    -

    Value

    -

    Invisibly returns x (for pipe chaining).

    -
    - -
    -

    Examples

    - 
    if (FALSE) { # \dontrun{
-# After creating impute_obj via the rbmi pipeline (see describe_imputation):
-desc <- describe_imputation(impute_obj)
-print(desc)  # Formatted cli output with method, M, subjects, references, missingness
-} # }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/print.pool.html b/docs/reference/print.pool.html deleted file mode 100644 index 4340b34..0000000 --- a/docs/reference/print.pool.html +++ /dev/null @@ -1,172 +0,0 @@ - -Print Method for Pool Objects — print.pool • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Print Method for Pool Objects

    - Source: R/pool_methods.R -
    print.pool.Rd
    -
    - -
    -

    Displays a formatted summary of a pooled analysis object from rbmi::pool(). -Uses cli formatting to show rounded estimates, confidence intervals, parameter -labels, method information, number of imputations, and confidence level.

    -
    - -
    -

    Usage

    - 
    # S3 method for class 'pool'
-print(x, digits = 2, ...)
    -
    - -
    -

    Arguments

    - - -
    x
    -

    An object of class pool, typically obtained from rbmi::pool().

    - - -
    digits
    -

    Integer. Number of decimal places for rounding estimates, -standard errors, and confidence interval bounds. Default is 2.

    - - -
    ...
    -

    Additional arguments (currently unused).

    - -
    -
    -

    Value

    -

    Invisibly returns the original pool object x (for pipe chaining).

    -
    -
    -

    Details

    -

    This method overrides rbmi::print.pool() to provide enhanced, formatted -console output using the cli package. The override produces a -"Registered S3 method overwritten" message at package load time, which is -expected and harmless (same pattern as print.analysis()).

    -

    The output includes:

    • A header with parameter and visit counts

      • -

    • Metadata: pooling method, number of imputations, confidence level

      • -

    • A compact results table with key columns: parameter, visit, est, lci, uci, pval

      • -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    # \donttest{
-library(rbmi)
-library(rbmiUtils)
-data("ADMI")
-
-ADMI$TRT <- factor(ADMI$TRT, levels = c("Placebo", "Drug A"))
-ADMI$USUBJID <- factor(ADMI$USUBJID)
-ADMI$AVISIT <- factor(ADMI$AVISIT)
-
-vars <- set_vars(
-  subjid = "USUBJID", visit = "AVISIT", group = "TRT",
-  outcome = "CHG", covariates = c("BASE", "STRATA", "REGION")
-)
-method <- method_bayes(n_samples = 20, control = control_bayes(warmup = 20))
-
-ana_obj <- analyse_mi_data(ADMI, vars, method, fun = ancova)
-#> Warning: Data contains 100 imputations but method expects 20. Using first 20
-#> imputations.
-pool_obj <- pool(ana_obj)
-print(pool_obj)
-#> 
-#> Pool Object
-#> -----------
-#> Number of Results Combined: 20
-#> Method: rubin
-#> Confidence Level: 0.95
-#> Alternative: two.sided
-#> 
-#> Results:
-#> 
-#>   ========================================================
-#>       parameter      est     se     lci     uci     pval  
-#>   --------------------------------------------------------
-#>      trt_Week 24    -2.181  0.182  -2.539  -1.823  <0.001 
-#>    lsm_ref_Week 24  0.086   0.132  -0.173  0.344   0.514  
-#>    lsm_alt_Week 24  -2.096  0.126  -2.344  -1.847  <0.001 
-#>      trt_Week 48    -3.794  0.256  -4.297  -3.29   <0.001 
-#>    lsm_ref_Week 48  0.036   0.186  -0.33   0.403   0.846  
-#>    lsm_alt_Week 48  -3.758  0.177  -4.106  -3.409  <0.001 
-#>   --------------------------------------------------------
-#> 
-# }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/rbmiUtils-package.html b/docs/reference/rbmiUtils-package.html deleted file mode 100644 index 75170c8..0000000 --- a/docs/reference/rbmiUtils-package.html +++ /dev/null @@ -1,91 +0,0 @@ - -rbmiUtils: Utility Functions to Support and Extend the 'rbmi' Package — rbmiUtils-package • rbmiUtils - Skip to contents - - -
    -
    -
    -

    rbmiUtils: Utility Functions to Support and Extend the 'rbmi' Package

    - Source: R/rbmiUtils-package.R -
    rbmiUtils-package.Rd
    -
    - -
    -

    -

    Provides utility functions that extend the capabilities of the reference-based multiple imputation package 'rbmi'. It supports clinical trial analysis workflows with functions for managing imputed datasets, applying analysis methods across imputations, and tidying results for reporting.

    -
    - - -
    -

    See also

    -

    Useful links:

    -
    -
    -

    Author

    -

    Maintainer: Mark Baillie bailliem@gmail.com (ORCID) [copyright holder]

    -

    Authors:

    Other contributors:

    • Lukas A. Widmer (ORCID) [contributor]

      • -
    - -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/rbmiUtils.html b/docs/reference/rbmiUtils.html deleted file mode 100644 index d1e889d..0000000 --- a/docs/reference/rbmiUtils.html +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - diff --git a/docs/reference/reduce_imputed_data.html b/docs/reference/reduce_imputed_data.html deleted file mode 100644 index c9c3e38..0000000 --- a/docs/reference/reduce_imputed_data.html +++ /dev/null @@ -1,165 +0,0 @@ - -Reduce Imputed Data for Efficient Storage — reduce_imputed_data • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Reduce Imputed Data for Efficient Storage

    - Source: R/imputation_storage.R -
    reduce_imputed_data.Rd
    -
    - -
    -

    Extracts only the imputed records (those that were originally missing) from -a full imputed dataset. This significantly reduces storage requirements when -working with many imputations, as observed values are identical across all -imputations and only need to be stored once in the original data.

    -
    - -
    -

    Usage

    - 
    reduce_imputed_data(imputed_data, original_data, vars)
    -
    - -
    -

    Arguments

    - - -
    imputed_data
    -

    A data.frame containing the full imputed dataset with an -IMPID column identifying each imputation. Typically the output from -get_imputed_data().

    - - -
    original_data
    -

    A data.frame containing the original dataset before -imputation, with missing values in the outcome column.

    - - -
    vars
    -

    A vars object as created by rbmi::set_vars().

    - -
    -
    -

    Value

    -

    A data.frame containing only the rows from imputed_data that -correspond to originally missing outcome values. All columns from -imputed_data are preserved.

    -
    -
    -

    Details

    -

    Storage savings depend on the proportion of missing data. For example:

    • Original: 1000 rows, 44 missing values

      • -

    • Full imputed (1000 imputations): 1,000,000 rows

      • -

    • Reduced (1000 imputations): 44,000 rows (4.4\

      • -

    Use expand_imputed_data() to reconstruct the full imputed dataset when -needed for analysis.

    -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    library(rbmi)
-library(dplyr)
-
-# Example with package data
-data("ADMI", package = "rbmiUtils")
-data("ADEFF", package = "rbmiUtils")
-
-# Prepare original data to match ADMI structure
-original <- ADEFF |>
-  mutate(
-    TRT = TRT01P,
-    USUBJID = as.character(USUBJID)
-  )
-
-vars <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CHG"
-)
-
-# Reduce to only imputed values
-reduced <- reduce_imputed_data(ADMI, original, vars)
-
-# Compare sizes
-cat("Full imputed rows:", nrow(ADMI), "\n")
-#> Full imputed rows: 100000 
-cat("Reduced rows:", nrow(reduced), "\n")
-#> Reduced rows: 4400 
-cat("Compression:", round(100 * nrow(reduced) / nrow(ADMI), 1), "%\n")
-#> Compression: 4.4 %
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/summarise_missingness.html b/docs/reference/summarise_missingness.html deleted file mode 100644 index dd6ec5f..0000000 --- a/docs/reference/summarise_missingness.html +++ /dev/null @@ -1,166 +0,0 @@ - -Summarise Missing Data Patterns — summarise_missingness • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Summarise Missing Data Patterns

    - Source: R/data_helpers.R -
    summarise_missingness.Rd
    -
    - -
    -

    Tabulates missing outcome data by visit and treatment group, and classifies -each subject's missing data pattern as complete, monotone, or intermittent.

    -
    - -
    -

    Usage

    - 
    summarise_missingness(data, vars)
    -
    - -
    -

    Arguments

    - - -
    data
    -

    A data.frame containing the analysis dataset with one row per -subject-visit combination.

    - - -
    vars
    -

    A vars object as created by rbmi::set_vars().

    - -
    -
    -

    Value

    -

    A list with three components:

    by_visit
    -

    A tibble with columns: visit, group, n, n_miss, pct_miss

    - -
    patterns
    -

    A tibble with columns: subjid, group, pattern -("complete", "monotone", or "intermittent"), dropout_visit (NA if not -monotone)

    - -
    summary
    -

    A tibble with columns: group, n_subjects, n_complete, -n_monotone, n_intermittent

    - - -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    library(rbmi)
-
-dat <- data.frame(
-  USUBJID = factor(rep(c("S1", "S2", "S3", "S4"), each = 3)),
-  AVISIT = factor(rep(c("Week 4", "Week 8", "Week 12"), 4),
-                  levels = c("Week 4", "Week 8", "Week 12")),
-  TRT = factor(rep(c("Placebo", "Drug A"), each = 6)),
-  CHG = c(1, 2, 3, 1, NA, NA, 1, 2, NA, 1, NA, 2)
-)
-
-vars <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CHG"
-)
-
-result <- summarise_missingness(dat, vars)
-print(result$by_visit)
-#> # A tibble: 6 × 5
-#>   visit   group       n n_miss pct_miss
-#>   <fct>   <fct>   <int>  <int>    <dbl>
-#> 1 Week 4  Drug A      2      0        0
-#> 2 Week 4  Placebo     2      0        0
-#> 3 Week 8  Drug A      2      1       50
-#> 4 Week 8  Placebo     2      1       50
-#> 5 Week 12 Drug A      2      1       50
-#> 6 Week 12 Placebo     2      1       50
-print(result$patterns)
-#> # A tibble: 4 × 4
-#>   USUBJID TRT     pattern      dropout_visit
-#>   <fct>   <chr>   <chr>        <chr>        
-#> 1 S1      Placebo complete     NA           
-#> 2 S2      Placebo monotone     Week 8       
-#> 3 S3      Drug A  monotone     Week 12      
-#> 4 S4      Drug A  intermittent NA           
-print(result$summary)
-#> # A tibble: 2 × 5
-#>   group   n_subjects n_complete n_monotone n_intermittent
-#>   <chr>        <int>      <int>      <int>          <int>
-#> 1 Drug A           2          0          1              1
-#> 2 Placebo          2          1          1              0
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/summary.analysis.html b/docs/reference/summary.analysis.html deleted file mode 100644 index e32d71e..0000000 --- a/docs/reference/summary.analysis.html +++ /dev/null @@ -1,147 +0,0 @@ - -Summary Method for Analysis Objects — summary.analysis • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Summary Method for Analysis Objects

    - Source: R/analyse_mi_data.R -
    summary.analysis.Rd
    -
    - -
    -

    Provides a detailed summary of an analysis object from analyse_mi_data().

    -
    - -
    -

    Usage

    - 
    # S3 method for class 'analysis'
-summary(object, n_preview = 5, ...)
    -
    - -
    -

    Arguments

    - - -
    object
    -

    An object of class analysis.

    - - -
    n_preview
    -

    Maximum number of parameters to show in the preview table. -Defaults to 5.

    - - -
    ...
    -

    Additional arguments (currently unused).

    - -
    -
    -

    Value

    -

    A list containing summary information (invisibly).

    -
    - -
    -

    Examples

    - 
    # \donttest{
-library(rbmi)
-library(rbmiUtils)
-data("ADMI")
-
-# Create analysis object
-vars <- set_vars(
-  subjid = "USUBJID", visit = "AVISIT", group = "TRT",
-  outcome = "CHG", covariates = c("BASE", "STRATA")
-)
-method <- method_bayes(n_samples = 10, control = control_bayes(warmup = 10))
-
-ana_obj <- analyse_mi_data(ADMI, vars, method, fun = function(d, v, ...) 1)
-#> Warning: Data contains 100 imputations but method expects 10. Using first 10
-#> imputations.
-summary(ana_obj)
-#> 
-#> ── Analysis Object Summary ─────────────────────────────────────────────────────
-#> 
-#> ── Imputations ──
-#> 
-#> Count: 10
-#> 
-#> ── Analysis ──
-#> 
-#> Function: `<Anonymous Function>()`
-#> Delta: None
-#> 
-#> ── Method ──
-#> 
-#> Type: bayes
-#> Samples: 10
-#> 
-#> ── Pooling ──
-#> 
-#> Method: rubin
-#> 
-#> Next steps:
-#> 1. `pool_obj <- rbmi::pool(analysis_obj)`
-#> 2. `tidy_df <- tidy_pool_obj(pool_obj)`
-# }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/summary.pool.html b/docs/reference/summary.pool.html deleted file mode 100644 index 66baf1a..0000000 --- a/docs/reference/summary.pool.html +++ /dev/null @@ -1,193 +0,0 @@ - -Summary Method for Pool Objects — summary.pool • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Summary Method for Pool Objects

    - Source: R/pool_methods.R -
    summary.pool.Rd
    -
    - -
    -

    Provides a detailed visit-level breakdown of pooled analysis results with -significance flags. Shows treatment comparisons and least squares means -grouped by visit.

    -
    - -
    -

    Usage

    - 
    # S3 method for class 'pool'
-summary(object, alpha = 0.05, ...)
    -
    - -
    -

    Arguments

    - - -
    object
    -

    An object of class pool, typically obtained from rbmi::pool().

    - - -
    alpha
    -

    Numeric. Significance threshold for flagging p-values. -Default is 0.05. Flags are: * for p < alpha, ** for p < 0.01, -*** for p < 0.001.

    - - -
    ...
    -

    Additional arguments (currently unused).

    - -
    -
    -

    Value

    -

    Invisibly returns a list with:

    n_parameters
    -

    Number of parameters in the pool object

    - -
    visits
    -

    Character vector of unique visit names

    - -
    method
    -

    Pooling method used

    - -
    n_imputations
    -

    Number of imputations combined

    - -
    conf.level
    -

    Confidence level

    - -
    tidy_df
    -

    The full tidy tibble from tidy_pool_obj()

    - - -
    -
    -

    Details

    -

    The summary output groups results by visit, showing treatment comparisons -with significance flags and least squares means. This provides a quick -overview of which visits have statistically significant treatment effects.

    -

    Significance flags:

    • * p < alpha (default 0.05)

      • -

    • ** p < 0.01

      • -

    • *** p < 0.001

      • -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    # \donttest{
-library(rbmi)
-library(rbmiUtils)
-data("ADMI")
-
-ADMI$TRT <- factor(ADMI$TRT, levels = c("Placebo", "Drug A"))
-ADMI$USUBJID <- factor(ADMI$USUBJID)
-ADMI$AVISIT <- factor(ADMI$AVISIT)
-
-vars <- set_vars(
-  subjid = "USUBJID", visit = "AVISIT", group = "TRT",
-  outcome = "CHG", covariates = c("BASE", "STRATA", "REGION")
-)
-method <- method_bayes(n_samples = 20, control = control_bayes(warmup = 20))
-
-ana_obj <- analyse_mi_data(ADMI, vars, method, fun = ancova)
-#> Warning: Data contains 100 imputations but method expects 20. Using first 20
-#> imputations.
-pool_obj <- pool(ana_obj)
-summary(pool_obj)
-#> 
-#> ── Pool Object Summary ─────────────────────────────────────────────────────────
-#> Method: rubin
-#> N imputations: 20
-#> Confidence: 95%
-#> Alternative: two.sided
-#> 6 parameters across 2 visits
-#> ────────────────────────────────────────────────────────────────────────────────
-#> 
-#> ── Week 24 ──
-#> 
-#> Treatment Comparisons
-#> Treatment Comparison: -2.18 (-2.54, -1.82) p=< 0.001 ***
-#> Least Squares Means
-#> Least Squares Mean for Reference at Week 24: 0.09 (-0.17, 0.34)
-#> Least Squares Mean for Alternative at Week 24: -2.1 (-2.34, -1.85)
-#> 
-#> ── Week 48 ──
-#> 
-#> Treatment Comparisons
-#> Treatment Comparison: -3.79 (-4.3, -3.29) p=< 0.001 ***
-#> Least Squares Means
-#> Least Squares Mean for Reference at Week 48: 0.04 (-0.33, 0.4)
-#> Least Squares Mean for Alternative at Week 48: -3.76 (-4.11, -3.41)
-# }
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/tidy_pool_obj.html b/docs/reference/tidy_pool_obj.html deleted file mode 100644 index eb81f18..0000000 --- a/docs/reference/tidy_pool_obj.html +++ /dev/null @@ -1,210 +0,0 @@ - -Tidy and Annotate a Pooled Object for Publication — tidy_pool_obj • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Tidy and Annotate a Pooled Object for Publication

    - Source: R/tidiers.R -
    tidy_pool_obj.Rd
    -
    - -
    -

    This function processes a pooled analysis object of class pool into a tidy tibble format. -It adds contextual information, such as whether a parameter is a treatment comparison or a least squares mean, -dynamically identifies visit names from the parameter column, and provides additional columns for parameter type, -least squares mean type, and visit.

    -
    - -
    -

    Usage

    - 
    tidy_pool_obj(pool_obj)
    -
    - -
    -

    Arguments

    - - -
    pool_obj
    -

    A pooled analysis object of class pool, typically obtained from rbmi::pool() -after calling analyse_mi_data().

    - -
    -
    -

    Value

    -

    A tibble containing the processed pooled analysis results with the following columns:

    parameter
    -

    Original parameter name from the pooled object

    - -
    description
    -

    Human-readable description of the parameter

    - -
    visit
    -

    Visit name extracted from parameter (if applicable)

    - -
    parameter_type
    -

    Either "trt" (treatment comparison) or "lsm" (least squares mean)

    - -
    lsm_type
    -

    For LSM parameters: "ref" (reference) or "alt" (alternative)

    - -
    est
    -

    Point estimate

    - -
    se
    -

    Standard error

    - -
    lci
    -

    Lower confidence interval

    - -
    uci
    -

    Upper confidence interval

    - -
    pval
    -

    P-value

    - - -
    -
    -

    Details

    -

    The function dynamically processes the parameter column by separating it into -components (e.g., type of estimate, reference vs. alternative arm, and visit), and provides -informative descriptions in the output.

    -

    Workflow:

    1. Prepare data and run imputation with rbmi

      2. -

    2. Analyse with analyse_mi_data()

      3. -

    3. Pool with rbmi::pool()

      4. -

    4. Tidy with tidy_pool_obj() for publication-ready output

      5. -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    # Example usage:
-library(dplyr)
-library(rbmi)
-
-data("ADMI")
-N_IMPUTATIONS <- 100
-BURN_IN <- 200
-BURN_BETWEEN <- 5
-
-# Convert key columns to factors
-ADMI$TRT <- factor(ADMI$TRT, levels = c("Placebo", "Drug A"))
-ADMI$USUBJID <- factor(ADMI$USUBJID)
-ADMI$AVISIT <- factor(ADMI$AVISIT)
-
-# Define key variables for ANCOVA analysis
- vars <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CHG",
-  covariates = c("BASE", "STRATA", "REGION")  # Covariates for adjustment
- )
-
-# Specify the imputation method (Bayesian) - need for pool step
-method <- rbmi::method_bayes(
-  n_samples = N_IMPUTATIONS,
-  control = rbmi::control_bayes(
-    warmup = BURN_IN,
-    thin = BURN_BETWEEN
-    )
-  )
-
-# Perform ANCOVA Analysis on Each Imputed Dataset
-ana_obj_ancova <- analyse_mi_data(
-  data = ADMI,
-  vars = vars,
-  method = method,
-  fun = ancova,  # Apply ANCOVA
-  delta = NULL   # No sensitivity analysis adjustment
-)
-
-pool_obj_ancova <- pool(ana_obj_ancova)
-tidy_df <- tidy_pool_obj(pool_obj_ancova)
-
-# Print tidy data frames
-print(tidy_df)
-#> # A tibble: 6 × 10
-#>   parameter       description visit parameter_type lsm_type     est    se    lci
-#>   <chr>           <chr>       <chr> <chr>          <chr>      <dbl> <dbl>  <dbl>
-#> 1 trt_Week 24     Treatment … Week… trt            NA       -2.17   0.182 -2.53 
-#> 2 lsm_ref_Week 24 Least Squa… Week… lsm            ref       0.0782 0.131 -0.179
-#> 3 lsm_alt_Week 24 Least Squa… Week… lsm            alt      -2.09   0.126 -2.34 
-#> 4 trt_Week 48     Treatment … Week… trt            NA       -3.81   0.256 -4.31 
-#> 5 lsm_ref_Week 48 Least Squa… Week… lsm            ref       0.0481 0.185 -0.316
-#> 6 lsm_alt_Week 48 Least Squa… Week… lsm            alt      -3.76   0.176 -4.11 
-#> # ℹ 2 more variables: uci <dbl>, pval <dbl>
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/reference/validate_data.html b/docs/reference/validate_data.html deleted file mode 100644 index b3b4ac8..0000000 --- a/docs/reference/validate_data.html +++ /dev/null @@ -1,157 +0,0 @@ - -Validate Data Before Imputation — validate_data • rbmiUtils - Skip to contents - - -
    -
    -
    -

    Validate Data Before Imputation

    - Source: R/data_helpers.R -
    validate_data.Rd
    -
    - -
    -

    Pre-flight validation of data, variable specification, and intercurrent event -data before calling rbmi::draws(). Collects all issues and reports them -together in a single error message.

    -
    - -
    -

    Usage

    - 
    validate_data(data, vars, data_ice = NULL)
    -
    - -
    -

    Arguments

    - - -
    data
    -

    A data.frame containing the analysis dataset.

    - - -
    vars
    -

    A vars object as created by rbmi::set_vars().

    - - -
    data_ice
    -

    An optional data.frame of intercurrent events. If provided, -must contain columns corresponding to vars$subjid, vars$visit, and -vars$strategy. Can be created using prepare_data_ice().

    - -
    -
    -

    Value

    -

    Invisibly returns TRUE if all checks pass. Throws an error with -collected messages if any issues are found.

    -
    -
    -

    Details

    -

    The following checks are performed:

    • data is a data.frame

      • -

    • All columns named in vars exist in data

      • -

    • subjid, visit, and group columns are factors

      • -

    • outcome column is numeric

      • -

    • Covariate columns have no missing values

      • -

    • Data has one row per subject-visit combination

      • -

    • If data_ice is provided: correct columns, valid subjects, valid -visits, recognised strategies, and at most one row per subject

      • -

    Recommended Workflow:

    1. Call validate_data() to check your data

      2. -

    2. Use prepare_data_ice() to create ICE data if needed

      3. -

    3. Review missingness with summarise_missingness()

      4. -

    4. Proceed with rbmi::draws() for imputation

      5. -
    -
    -

    See also

    -
    -
    -
    - -
    -

    Examples

    - 
    library(rbmi)
-
-dat <- data.frame(
-  USUBJID = factor(rep(c("S1", "S2", "S3"), each = 3)),
-  AVISIT = factor(rep(c("Week 4", "Week 8", "Week 12"), 3),
-                  levels = c("Week 4", "Week 8", "Week 12")),
-  TRT = factor(rep(c("Placebo", "Drug A", "Drug A"), each = 3)),
-  CHG = c(1.1, 2.2, 3.3, 0.5, NA, NA, 1.0, 2.0, NA),
-  BASE = rep(c(10, 12, 11), each = 3),
-  STRATA = factor(rep(c("A", "B", "A"), each = 3))
-)
-
-vars <- set_vars(
-  subjid = "USUBJID",
-  visit = "AVISIT",
-  group = "TRT",
-  outcome = "CHG",
-  covariates = c("BASE", "STRATA")
-)
-
-validate_data(dat, vars)
-
-
    -
    -
    - - -
    -

    Developed by Mark Baillie, Tobias Mütze, Jack Talboys.

    -
    - -
    -

    Site built with pkgdown 2.1.1. Part of openpharma

    -
    - -
    - - - - - - - diff --git a/docs/search.json b/docs/search.json deleted file mode 100644 index 986ee73..0000000 --- a/docs/search.json +++ /dev/null @@ -1 +0,0 @@ -[{"path":"https://openpharma.github.io/rbmiUtils/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"GNU General Public License","title":"GNU General Public License","text":"Version 3, 29 June 2007Copyright © 2007 Free Software Foundation, Inc.  Everyone permitted copy distribute verbatim copies license document, changing allowed.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/LICENSE.html","id":"preamble","dir":"","previous_headings":"","what":"Preamble","title":"GNU General Public License","text":"GNU General Public License free, copyleft license software kinds works. licenses software practical works designed take away freedom share change works. contrast, GNU General Public License intended guarantee freedom share change versions program–make sure remains free software users. , Free Software Foundation, use GNU General Public License software; applies also work released way authors. can apply programs, . speak free software, referring freedom, price. 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This is free software, and you are welcome to redistribute it under certain conditions; type 'show c' for details."},{"path":"https://openpharma.github.io/rbmiUtils/articles/analyse2.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Storing and Analyzing Imputed Data with rbmiUtils","text":"vignette demonstrates : Perform multiple imputation using {rbmi} package Store modify imputed data using rbmiUtils standard ANCOVA continuous endpoint (CHG) binary responder analysis CRIT1FLN using {beeca} pattern enables reproducible workflows imputation analysis can separated revisited independently. Related vignettes: Data Preparation Validation - Validate data imputation Efficient Storage Imputed Data - Reduce storage large imputations","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/analyse2.html","id":"statistical-context","dir":"Articles","previous_headings":"","what":"Statistical Context","title":"Storing and Analyzing Imputed Data with rbmiUtils","text":"approach applies Rubin’s Rules inference multiple imputation (see rbmi quickstart vignette background draws/impute/analyse/pool pipeline): fit model imputed dataset, derive response variable CHG score, extract marginal effects statistics interest, combine results single inference using Rubin’s combining rules.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/analyse2.html","id":"step-1-setup-and-data-preparation","dir":"Articles","previous_headings":"","what":"Step 1: Setup and Data Preparation","title":"Storing and Analyzing Imputed Data with rbmiUtils","text":"","code":"library(dplyr) library(tidyr) library(readr) library(purrr) library(rbmi) library(beeca) library(rbmiUtils) set.seed(1974) data(\"ADEFF\") ADEFF <- ADEFF %>% mutate( TRT = factor(TRT01P, levels = c(\"Placebo\", \"Drug A\")), USUBJID = factor(USUBJID), AVISIT = factor(AVISIT) )"},{"path":"https://openpharma.github.io/rbmiUtils/articles/analyse2.html","id":"step-2-define-imputation-model","dir":"Articles","previous_headings":"","what":"Step 2: Define Imputation Model","title":"Storing and Analyzing Imputed Data with rbmiUtils","text":"use rbmi::set_vars() specify key variable roles:","code":"vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) method <- method_bayes( n_samples = 100, control = control_bayes(warmup = 200, thin = 2) ) dat <- ADEFF %>% select(USUBJID, STRATA, REGION, REGIONC, TRT, BASE, CHG, AVISIT) draws_obj <- draws(data = dat, vars = vars, method = method) #> Trying to compile a simple C file #> Running /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/bin/R \\ #> CMD SHLIB foo.c #> using C compiler: ‘Apple clang version 17.0.0 (clang-1700.6.3.2)’ #> using SDK: ‘MacOSX26.2.sdk’ #> clang -arch arm64 -I\"/Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/include\" -DNDEBUG -I\"/Users/bailliem/Library/R/arm64/4.4/library/Rcpp/include/\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/unsupported\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/BH/include\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/src/\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/RcppParallel/include/\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/rstan/include\" -DEIGEN_NO_DEBUG -DBOOST_DISABLE_ASSERTS -DBOOST_PENDING_INTEGER_LOG2_HPP -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_HAS_AUTO_PTR_ETC=0 -include '/Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp' -D_REENTRANT -DRCPP_PARALLEL_USE_TBB=1 -I/opt/R/arm64/include -fPIC -falign-functions=64 -Wall -g -O2 -c foo.c -o foo.o #> In file included from :1: #> In file included from /Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22: #> In file included from /Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/Eigen/Dense:1: #> In file included from /Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/Eigen/Core:19: #> /Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:679:10: fatal error: 'cmath' file not found #> 679 | #include #> | ^~~~~~~ #> 1 error generated. #> make: *** [foo.o] Error 1 #> #> SAMPLING FOR MODEL 'rbmi_MMRM_us_default' NOW (CHAIN 1). #> Chain 1: #> Chain 1: Gradient evaluation took 0.000228 seconds #> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.28 seconds. #> Chain 1: Adjust your expectations accordingly! #> Chain 1: #> Chain 1: #> Chain 1: Iteration: 1 / 400 [ 0%] (Warmup) #> Chain 1: Iteration: 40 / 400 [ 10%] (Warmup) #> Chain 1: Iteration: 80 / 400 [ 20%] (Warmup) #> Chain 1: Iteration: 120 / 400 [ 30%] (Warmup) #> Chain 1: Iteration: 160 / 400 [ 40%] (Warmup) #> Chain 1: Iteration: 200 / 400 [ 50%] (Warmup) #> Chain 1: Iteration: 201 / 400 [ 50%] (Sampling) #> Chain 1: Iteration: 240 / 400 [ 60%] (Sampling) #> Chain 1: Iteration: 280 / 400 [ 70%] (Sampling) #> Chain 1: Iteration: 320 / 400 [ 80%] (Sampling) #> Chain 1: Iteration: 360 / 400 [ 90%] (Sampling) #> Chain 1: Iteration: 400 / 400 [100%] (Sampling) #> Chain 1: #> Chain 1: Elapsed Time: 0.323 seconds (Warm-up) #> Chain 1: 0.248 seconds (Sampling) #> Chain 1: 0.571 seconds (Total) #> Chain 1: #> Warning: The Effective Sample Size is below 40% for 1 parameters. Please #> consider increasing burn-in and/or burn-between, or the number of samples impute_obj <- impute(draws_obj, references = c(\"Placebo\" = \"Placebo\", \"Drug A\" = \"Placebo\")) ADMI <- get_imputed_data(impute_obj)"},{"path":"https://openpharma.github.io/rbmiUtils/articles/analyse2.html","id":"step-3-add-responder-variables","dir":"Articles","previous_headings":"","what":"Step 3: Add Responder Variables","title":"Storing and Analyzing Imputed Data with rbmiUtils","text":"","code":"ADMI <- ADMI %>% mutate( CRIT1FLN = ifelse(CHG > 3, 1, 0), CRIT1FL = ifelse(CRIT1FLN == 1, \"Y\", \"N\"), CRIT = \"CHG > 3\" )"},{"path":"https://openpharma.github.io/rbmiUtils/articles/analyse2.html","id":"step-4-continuous-endpoint-analysis-chg","dir":"Articles","previous_headings":"","what":"Step 4: Continuous Endpoint Analysis (CHG)","title":"Storing and Analyzing Imputed Data with rbmiUtils","text":"","code":"ana_obj_ancova <- analyse_mi_data( data = ADMI, vars = vars, method = method, fun = ancova ) pool_obj_ancova <- pool(ana_obj_ancova) print(pool_obj_ancova) #> #> ── Pool Object ───────────────────────────────────────────────────────────────── #> 6 parameters across 2 visits #> Method: rubin #> N imputations: 100 #> Confidence: 95% #> ──────────────────────────────────────────────────────────────────────────────── #> parameter visit est lci uci pval #> trt_Week 24 Week 24 -2.18 -2.53 -1.82 < 0.001 #> lsm_ref_Week 24 Week 24 0.08 -0.18 0.33 0.560 #> lsm_alt_Week 24 Week 24 -2.10 -2.35 -1.85 < 0.001 #> trt_Week 48 Week 48 -3.81 -4.31 -3.30 < 0.001 #> lsm_ref_Week 48 Week 48 0.04 -0.32 0.41 0.814 #> lsm_alt_Week 48 Week 48 -3.76 -4.11 -3.42 < 0.001 tidy_pool_obj(pool_obj_ancova) #> # A tibble: 6 × 10 #> parameter description visit parameter_type lsm_type est se lci #> #> 1 trt_Week 24 Treatment … Week… trt NA -2.18 0.182 -2.53 #> 2 lsm_ref_Week 24 Least Squa… Week… lsm ref 0.0764 0.131 -0.181 #> 3 lsm_alt_Week 24 Least Squa… Week… lsm alt -2.10 0.125 -2.35 #> 4 trt_Week 48 Treatment … Week… trt NA -3.81 0.256 -4.31 #> 5 lsm_ref_Week 48 Least Squa… Week… lsm ref 0.0436 0.185 -0.320 #> 6 lsm_alt_Week 48 Least Squa… Week… lsm alt -3.76 0.175 -4.11 #> # ℹ 2 more variables: uci , pval "},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/articles/analyse2.html","id":"define-analysis-function","dir":"Articles","previous_headings":"Step 5: Responder Endpoint Analysis (CRIT1FLN)","what":"Define Analysis Function","title":"Storing and Analyzing Imputed Data with rbmiUtils","text":"use beeca::get_marginal_effect() robust variance estimation marginal treatment effects logistic model:","code":"gcomp_responder <- function(data, ...) { model <- glm(CRIT1FLN ~ TRT + BASE + STRATA + REGION, data = data, family = binomial) marginal_fit <- get_marginal_effect( model, trt = \"TRT\", method = \"Ge\", type = \"HC0\", contrast = \"diff\", reference = \"Placebo\" ) res <- marginal_fit$marginal_results list( trt = list( est = res[res$STAT == \"diff\", \"STATVAL\"][[1]], se = res[res$STAT == \"diff_se\", \"STATVAL\"][[1]], df = NA ) ) }"},{"path":"https://openpharma.github.io/rbmiUtils/articles/analyse2.html","id":"define-variables-and-run-analysis","dir":"Articles","previous_headings":"Step 5: Responder Endpoint Analysis (CRIT1FLN)","what":"Define Variables and Run Analysis","title":"Storing and Analyzing Imputed Data with rbmiUtils","text":"","code":"vars_binary <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CRIT1FLN\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) ana_obj_prop <- analyse_mi_data( data = ADMI, vars = vars_binary, method = method, fun = gcomp_responder ) pool_obj_prop <- pool(ana_obj_prop) print(pool_obj_prop) #> #> ── Pool Object ───────────────────────────────────────────────────────────────── #> 1 parameter across 0 visits #> Method: rubin #> N imputations: 100 #> Confidence: 95% #> ──────────────────────────────────────────────────────────────────────────────── #> parameter visit est lci uci pval #> trt -0.06 -0.09 -0.04 < 0.001"},{"path":"https://openpharma.github.io/rbmiUtils/articles/analyse2.html","id":"final-notes","dir":"Articles","previous_headings":"","what":"Final Notes","title":"Storing and Analyzing Imputed Data with rbmiUtils","text":"ADMI object can saved later reuse Analyses can modularly applied using custom functions tidy output tidy_pool_obj() helpful reporting review","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/analyse2.html","id":"efficient-storage","dir":"Articles","previous_headings":"Final Notes","what":"Efficient Storage","title":"Storing and Analyzing Imputed Data with rbmiUtils","text":"working many imputations, consider using reduce_imputed_data() store imputed values: See Efficient Storage vignette details.","code":"# Reduce for efficient storage reduced <- reduce_imputed_data(ADMI, ADEFF, vars) # Later, expand back for analysis ADMI_restored <- expand_imputed_data(reduced, ADEFF, vars)"},{"path":"https://openpharma.github.io/rbmiUtils/articles/analyse2.html","id":"see-also","dir":"Articles","previous_headings":"Final Notes","what":"See Also","title":"Storing and Analyzing Imputed Data with rbmiUtils","text":"guided tutorial walking complete pipeline raw data regulatory tables, see vignette('pipeline').","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/data-preparation.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Data Preparation and Validation","text":"vignette demonstrates prepare validate data running multiple imputation {rbmi}. rbmiUtils package provides three key functions workflow: validate_data(): Pre-flight validation catch common data issues prepare_data_ice(): Build intercurrent event data flag columns summarise_missingness(): Understand missing data patterns Using functions helps ensure imputation run successfully gives insight structure missing data.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/data-preparation.html","id":"setup","dir":"Articles","previous_headings":"","what":"Setup","title":"Data Preparation and Validation","text":"","code":"library(dplyr) library(rbmi) library(rbmiUtils)"},{"path":"https://openpharma.github.io/rbmiUtils/articles/data-preparation.html","id":"example-data","dir":"Articles","previous_headings":"","what":"Example Data","title":"Data Preparation and Validation","text":"’ll create small example dataset demonstrate functions:","code":"set.seed(42) dat <- data.frame( USUBJID = factor(rep(paste0(\"SUBJ-\", 1:20), each = 4)), AVISIT = factor( rep(c(\"Week 4\", \"Week 8\", \"Week 12\", \"Week 16\"), 20), levels = c(\"Week 4\", \"Week 8\", \"Week 12\", \"Week 16\") ), TRT = factor(rep(c(\"Placebo\", \"Drug A\"), each = 40)), BASE = rep(round(rnorm(20, 50, 10), 1), each = 4), STRATA = factor(rep(sample(c(\"Low\", \"High\"), 20, replace = TRUE), each = 4)) ) # Generate CHG with some missing values dat$CHG <- round(rnorm(80, mean = -2, sd = 3), 1) # Create missing data patterns: # - Subjects 3, 8: monotone dropout at Week 12 # - Subject 15: intermittent missing at Week 8 # - Subject 18: monotone dropout at Week 16 dat$CHG[dat$USUBJID == \"SUBJ-3\" & dat$AVISIT %in% c(\"Week 12\", \"Week 16\")] <- NA dat$CHG[dat$USUBJID == \"SUBJ-8\" & dat$AVISIT %in% c(\"Week 12\", \"Week 16\")] <- NA dat$CHG[dat$USUBJID == \"SUBJ-15\" & dat$AVISIT == \"Week 8\"] <- NA dat$CHG[dat$USUBJID == \"SUBJ-18\" & dat$AVISIT == \"Week 16\"] <- NA # Add discontinuation flag dat$DISCFL <- ifelse( dat$USUBJID %in% c(\"SUBJ-3\", \"SUBJ-8\") & dat$AVISIT == \"Week 12\", \"Y\", ifelse( dat$USUBJID == \"SUBJ-18\" & dat$AVISIT == \"Week 16\", \"Y\", \"N\" ) ) head(dat, 12) #> USUBJID AVISIT TRT BASE STRATA CHG DISCFL #> 1 SUBJ-1 Week 4 Placebo 63.7 Low -0.6 N #> 2 SUBJ-1 Week 8 Placebo 63.7 Low 0.1 N #> 3 SUBJ-1 Week 12 Placebo 63.7 Low 1.1 N #> 4 SUBJ-1 Week 16 Placebo 63.7 Low -3.8 N #> 5 SUBJ-2 Week 4 Placebo 44.4 Low -0.5 N #> 6 SUBJ-2 Week 8 Placebo 44.4 Low -7.2 N #> 7 SUBJ-2 Week 12 Placebo 44.4 Low -4.4 N #> 8 SUBJ-2 Week 16 Placebo 44.4 Low -4.6 N #> 9 SUBJ-3 Week 4 Placebo 53.6 High -9.2 N #> 10 SUBJ-3 Week 8 Placebo 53.6 High -1.9 N #> 11 SUBJ-3 Week 12 Placebo 53.6 High NA Y #> 12 SUBJ-3 Week 16 Placebo 53.6 High NA N"},{"path":"https://openpharma.github.io/rbmiUtils/articles/data-preparation.html","id":"define-variables","dir":"Articles","previous_headings":"","what":"Define Variables","title":"Data Preparation and Validation","text":"","code":"vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\"), strategy = \"STRATEGY\" )"},{"path":"https://openpharma.github.io/rbmiUtils/articles/data-preparation.html","id":"validating-data","dir":"Articles","previous_headings":"","what":"Validating Data","title":"Data Preparation and Validation","text":"validate_data() function performs comprehensive checks data imputation: function checks: Data data.frame required columns exist (subjid, visit, group, outcome, covariates) Factor columns properly typed Outcome column numeric Covariates missing values duplicate subject-visit combinations data_ice provided: valid subjects, visits, strategies","code":"# This will pass validation validate_data(dat, vars)"},{"path":"https://openpharma.github.io/rbmiUtils/articles/data-preparation.html","id":"catching-validation-errors","dir":"Articles","previous_headings":"Validating Data","what":"Catching Validation Errors","title":"Data Preparation and Validation","text":"’s example validation catches issues:","code":"# Create problematic data bad_dat <- dat bad_dat$TRT <- as.character(bad_dat$TRT) # Should be factor bad_dat$BASE[1] <- NA # Covariate with missing value # This will report all issues at once tryCatch( validate_data(bad_dat, vars), error = function(e) cat(e$message) ) #> Warning: 1 column is character instead of factor. #> ℹ Column: TRT. #> ℹ `rbmi::draws()` will auto-coerce, but explicit conversion gives you control #> over level ordering. #> ℹ Example: `data$TRT <- factor(data$TRT)` #> Data validation failed."},{"path":"https://openpharma.github.io/rbmiUtils/articles/data-preparation.html","id":"summarising-missing-data","dir":"Articles","previous_headings":"","what":"Summarising Missing Data","title":"Data Preparation and Validation","text":"imputation, ’s important understand missing data patterns:","code":"miss <- summarise_missingness(dat, vars)"},{"path":"https://openpharma.github.io/rbmiUtils/articles/data-preparation.html","id":"missing-by-visit","dir":"Articles","previous_headings":"Summarising Missing Data","what":"Missing by Visit","title":"Data Preparation and Validation","text":"","code":"print(miss$by_visit) #> # A tibble: 8 × 5 #> visit group n n_miss pct_miss #> #> 1 Week 4 Drug A 10 0 0 #> 2 Week 4 Placebo 10 0 0 #> 3 Week 8 Drug A 10 1 10 #> 4 Week 8 Placebo 10 0 0 #> 5 Week 12 Drug A 10 0 0 #> 6 Week 12 Placebo 10 2 20 #> 7 Week 16 Drug A 10 1 10 #> 8 Week 16 Placebo 10 2 20"},{"path":"https://openpharma.github.io/rbmiUtils/articles/data-preparation.html","id":"subject-patterns","dir":"Articles","previous_headings":"Summarising Missing Data","what":"Subject Patterns","title":"Data Preparation and Validation","text":"","code":"print(miss$patterns) #> # A tibble: 20 × 4 #> USUBJID TRT pattern dropout_visit #> #> 1 SUBJ-1 Placebo complete NA #> 2 SUBJ-2 Placebo complete NA #> 3 SUBJ-3 Placebo monotone Week 12 #> 4 SUBJ-4 Placebo complete NA #> 5 SUBJ-5 Placebo complete NA #> 6 SUBJ-6 Placebo complete NA #> 7 SUBJ-7 Placebo complete NA #> 8 SUBJ-8 Placebo monotone Week 12 #> 9 SUBJ-9 Placebo complete NA #> 10 SUBJ-10 Placebo complete NA #> 11 SUBJ-11 Drug A complete NA #> 12 SUBJ-12 Drug A complete NA #> 13 SUBJ-13 Drug A complete NA #> 14 SUBJ-14 Drug A complete NA #> 15 SUBJ-15 Drug A intermittent NA #> 16 SUBJ-16 Drug A complete NA #> 17 SUBJ-17 Drug A complete NA #> 18 SUBJ-18 Drug A monotone Week 16 #> 19 SUBJ-19 Drug A complete NA #> 20 SUBJ-20 Drug A complete NA"},{"path":"https://openpharma.github.io/rbmiUtils/articles/data-preparation.html","id":"summary-by-treatment-group","dir":"Articles","previous_headings":"Summarising Missing Data","what":"Summary by Treatment Group","title":"Data Preparation and Validation","text":"three pattern types : complete: missing outcome values monotone: value missing, subsequent visits also missing (dropout) intermittent: Missing values observed values ","code":"print(miss$summary) #> # A tibble: 2 × 5 #> group n_subjects n_complete n_monotone n_intermittent #> #> 1 Drug A 10 8 1 1 #> 2 Placebo 10 8 2 0"},{"path":"https://openpharma.github.io/rbmiUtils/articles/data-preparation.html","id":"preparing-ice-data","dir":"Articles","previous_headings":"","what":"Preparing ICE Data","title":"Data Preparation and Validation","text":"subjects discontinue treatment, may want apply reference-based imputation strategies (see {rbmi} documentation details intercurrent event handling). prepare_data_ice() function builds required data_ice data.frame discontinuation flag: function: Identifies subjects ICE flags (\"Y\", TRUE, 1) Takes first flagged visit per subject Assigns specified imputation strategy Available strategies : \"MAR\": Missing Random \"CR\": Copy Reference \"JR\": Jump Reference \"CIR\": Copy Increment Reference \"LMCF\": Last Mean Carried Forward","code":"data_ice <- prepare_data_ice( data = dat, vars = vars, ice_col = \"DISCFL\", strategy = \"JR\" # Jump to Reference ) print(data_ice) #> USUBJID AVISIT STRATEGY #> 1 SUBJ-18 Week 16 JR #> 2 SUBJ-3 Week 12 JR #> 3 SUBJ-8 Week 12 JR"},{"path":"https://openpharma.github.io/rbmiUtils/articles/data-preparation.html","id":"complete-workflow","dir":"Articles","previous_headings":"","what":"Complete Workflow","title":"Data Preparation and Validation","text":"’s functions fit typical {rbmi} workflow:","code":"library(rbmi) library(rbmiUtils) # 1. Validate data validate_data(dat, vars) # 2. Understand missing patterns miss <- summarise_missingness(dat, vars) print(miss$summary) # 3. Prepare ICE data if needed data_ice <- prepare_data_ice(dat, vars, ice_col = \"DISCFL\", strategy = \"JR\") # 4. Define method method <- method_bayes( n_samples = 100, control = control_bayes(warmup = 200, thin = 2) ) # 5. Run imputation draws_obj <- draws( data = dat, vars = vars, data_ice = data_ice, method = method ) # 6. Continue with impute() and analyse()"},{"path":"https://openpharma.github.io/rbmiUtils/articles/data-preparation.html","id":"summary","dir":"Articles","previous_headings":"","what":"Summary","title":"Data Preparation and Validation","text":"data preparation functions rbmiUtils help : Catch issues early validate_data() running time-consuming imputations Understand data summarise_missingness() characterize missing data patterns Simplify ICE handling prepare_data_ice() build data_ice flag columns utilities complement core {rbmi} package support reproducible, well-documented analysis workflows. data preparation, see vignette('pipeline') complete analysis workflow imputation regulatory tables.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/diagnostics.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"MI Diagnostics and Pipeline Inspection","text":"rbmi multiple imputation pipeline produces several intermediate objects – draws, imputation, analysis, pool – containing useful metadata imputation model results. rbmiUtils v0.3.0 adds tools inspect objects extract diagnostic statistics, making easier verify MI pipeline behaved expected. vignette covers three features: describe_draws(): structured metadata draws objects (method, formula, samples, MCMC convergence) describe_imputation(): structured metadata imputation objects (method, M, references, missingness breakdown) pool_to_ard() MI diagnostic enrichment: fraction missing information (FMI), lambda, relative increase variance (RIV), Rubin’s rules diagnostics embedded ARD output","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/diagnostics.html","id":"setup","dir":"Articles","previous_headings":"","what":"Setup","title":"MI Diagnostics and Pipeline Inspection","text":"load required packages prepare data pool_to_ard() diagnostic enrichment examples Section 5. setup uses analyse_mi_data() works directly pre-imputed ADMI dataset (containing IMPID column), need draws() impute().","code":"library(rbmiUtils) library(rbmi) library(dplyr) data(\"ADMI\", package = \"rbmiUtils\") ADMI <- ADMI |> mutate( TRT = factor(TRT, levels = c(\"Placebo\", \"Drug A\")), USUBJID = factor(USUBJID), AVISIT = factor(AVISIT) ) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) method <- method_bayes( n_samples = 100, control = control_bayes(warmup = 200, thin = 5) ) ana_obj <- analyse_mi_data(ADMI, vars, method, fun = ancova) pool_obj <- pool(ana_obj)"},{"path":"https://openpharma.github.io/rbmiUtils/articles/diagnostics.html","id":"inspecting-draws-with-describe_draws","dir":"Articles","previous_headings":"","what":"Inspecting Draws with describe_draws()","title":"MI Diagnostics and Pipeline Inspection","text":"describe_draws() function extracts structured metadata rbmi draws object, providing quick summary imputation model configuration , Bayesian methods, MCMC convergence diagnostics. code uses ADEFF data defines vars method objects. use eval = FALSE draws() runs MCMC sampling, slow vignette builds. Example output describe_draws(): returned object list programmatic access fields: $method – human-readable method name (e.g., “Bayesian (MCMC via Stan)”) $method_class – raw class: \"bayes\", \"approxbayes\", \"condmean\" $formula – deparsed model formula string $n_samples – total number samples drawn $n_failures – number failed samples $mcmc – (Bayesian ) list rhat, ess, max_rhat, min_ess, n_params, converged","code":"data(\"ADEFF\", package = \"rbmiUtils\") ADEFF <- ADEFF |> mutate( TRT = factor(TRT01P, levels = c(\"Placebo\", \"Drug A\")), USUBJID = factor(USUBJID), AVISIT = factor(AVISIT, levels = c(\"Week 24\", \"Week 48\")) ) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) method <- method_bayes( n_samples = 100, control = control_bayes(warmup = 200, thin = 2) ) dat <- ADEFF |> select(USUBJID, STRATA, REGION, TRT, BASE, CHG, AVISIT) draws_obj <- draws(data = dat, vars = vars, method = method) desc <- describe_draws(draws_obj) print(desc) -- Draws Summary -- Method: Bayesian (MCMC via Stan) Formula: CHG ~ 1 + BASE + STRATA + REGION + TRT + AVISIT + TRT:AVISIT Samples: 100 Failures: 0 Covariance: us Same covariance across groups: Yes -- -- MCMC Convergence -- v All Rhat < 1.1 (42 parameters) Max Rhat: 1.003 Min ESS: 245.2"},{"path":"https://openpharma.github.io/rbmiUtils/articles/diagnostics.html","id":"inspecting-imputations-with-describe_imputation","dir":"Articles","previous_headings":"","what":"Inspecting Imputations with describe_imputation()","title":"MI Diagnostics and Pipeline Inspection","text":"describe_imputation() function extracts metadata rbmi imputation object, including method, number imputations (M), reference arm mappings, missingness breakdown visit treatment arm. section continues draws_obj created code (Section 3). , use eval = FALSE pipeline requires MCMC. Example output describe_imputation(): returned object provides programmatic access : $method – human-readable method name $n_imputations – number imputations (M) $n_subjects – total number unique subjects $references – named character vector reference arm mappings (NULL) $missingness – data.frame columns visit, group, n_total, n_miss, pct_miss","code":"impute_obj <- impute( draws_obj, references = c(\"Placebo\" = \"Placebo\", \"Drug A\" = \"Placebo\") ) desc <- describe_imputation(impute_obj) print(desc) -- Imputation Summary -- Method: Bayesian (MCMC via Stan) Imputations (M): 100 Subjects: 200 -- -- References -- Placebo -> Placebo Drug A -> Placebo -- Missingness by Visit and Arm -- visit group n_total n_miss pct_miss Week 24 Placebo 100 8 8.0 Week 24 Drug A 100 10 10.0 Week 48 Placebo 100 15 15.0 Week 48 Drug A 100 18 18.0"},{"path":"https://openpharma.github.io/rbmiUtils/articles/diagnostics.html","id":"mi-diagnostic-statistics-in-ard","dir":"Articles","previous_headings":"","what":"MI Diagnostic Statistics in ARD","title":"MI Diagnostics and Pipeline Inspection","text":"pool_to_ard() function converts pool object pharmaverse Analysis Results Dataset (ARD) format. also pass analysis_obj, enriches ARD MI diagnostic statistics computed Rubin’s rules. enriched ARD includes additional rows parameter diagnostic statistics. can filter display : diagnostic statistic specific interpretation: FMI (fraction missing information) – adjusted proportion total sampling variance attributable missing data, following mice convention: (riv + 2/(df + 3)) / (1 + riv) lambda – proportion total variance due -imputation variance (missingness) RIV (relative increase variance) – ratio -imputation variance within-imputation variance, scaled (1 + 1/M) df.adjusted – Barnard-Rubin adjusted degrees freedom, accounts finite complete-data degrees freedom re (relative efficiency) – 1 / (1 + fmi/M), efficiency MI estimator relative estimator infinite imputations","code":"# Base ARD (no diagnostics) ard <- pool_to_ard(pool_obj) # Enriched ARD with MI diagnostics ard_enriched <- pool_to_ard(pool_obj, analysis_obj = ana_obj) ard_enriched |> dplyr::filter(stat_name %in% c(\"fmi\", \"lambda\", \"riv\", \"df.adjusted\", \"re\")) |> dplyr::select(group1_level, variable_level, stat_name, stat) #> {cards} data frame: 30 x 4 #> group1_level variable_level stat_name stat #> 1 Week 24 NA fmi 0.023 #> 2 Week 24 NA lambda 0.019 #> 3 Week 24 NA riv 0.019 #> 4 Week 24 NA df.adjusted 480.772 #> 5 Week 24 NA re 1 #> 6 Week 24 NA fmi 0.021 #> 7 Week 24 NA lambda 0.017 #> 8 Week 24 NA riv 0.018 #> 9 Week 24 NA df.adjusted 481.809 #> 10 Week 24 NA re 1 #> ℹ 20 more rows #> ℹ Use `print(n = ...)` to see more rows"},{"path":"https://openpharma.github.io/rbmiUtils/articles/diagnostics.html","id":"when-diagnostics-are-not-available","dir":"Articles","previous_headings":"","what":"When Diagnostics Are Not Available","title":"MI Diagnostics and Pipeline Inspection","text":"Non-Rubin pooling methods (e.g., conditional mean jackknife) produce MI diagnostic statistics variance decomposition apply. pool_to_ard() called analysis_obj non-Rubin method, emits informative message omits diagnostic rows ARD. describe_draws() describe_imputation() functions work method types (Bayesian, approximate Bayesian, conditional mean).","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/diagnostics.html","id":"learn-more","dir":"Articles","previous_headings":"","what":"Learn More","title":"MI Diagnostics and Pipeline Inspection","text":"rbmi Analysis Regulatory Tables – full end--end pipeline vignette pool_to_ard() – function documentation ARD format details describe_draws() describe_imputation() – function documentation full field descriptions","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Efficient Storage of Imputed Data","text":"performing multiple imputation {rbmi} using many imputations (e.g., 100-1000), full imputed dataset can become large. However, data redundant: observed values identical across imputations. rbmiUtils package provides two functions address : reduce_imputed_data(): Extract imputed values (originally missing) expand_imputed_data(): Reconstruct full dataset needed approach can reduce storage requirements 90% , depending proportion missing data.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"the-storage-problem","dir":"Articles","previous_headings":"","what":"The Storage Problem","title":"Efficient Storage of Imputed Data","text":"Consider typical clinical trial dataset: 500 subjects 5 visits per subject = 2,500 rows 5% missing data = 125 missing values 1,000 imputations Full storage: 2,500 rows × 1,000 imputations = 2.5 million rows Reduced storage: 125 missing values × 1,000 imputations = 125,000 rows (5% full size)","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"setup","dir":"Articles","previous_headings":"","what":"Setup","title":"Efficient Storage of Imputed Data","text":"","code":"library(dplyr) library(rbmi) library(rbmiUtils)"},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"example-with-package-data","dir":"Articles","previous_headings":"","what":"Example with Package Data","title":"Efficient Storage of Imputed Data","text":"rbmiUtils package includes example datasets can use:","code":"data(\"ADMI\", package = \"rbmiUtils\") # Full imputed dataset data(\"ADEFF\", package = \"rbmiUtils\") # Original data with missing values # Check dimensions cat(\"Full imputed dataset (ADMI):\", nrow(ADMI), \"rows\\n\") #> Full imputed dataset (ADMI): 100000 rows cat(\"Number of imputations:\", length(unique(ADMI$IMPID)), \"\\n\") #> Number of imputations: 100"},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"reducing-imputed-data","dir":"Articles","previous_headings":"","what":"Reducing Imputed Data","title":"Efficient Storage of Imputed Data","text":"First, prepare original data match imputed data structure: Define variables specification: Now reduce imputed data:","code":"original <- ADEFF |> mutate( TRT = TRT01P, USUBJID = as.character(USUBJID) ) # Count missing values n_missing <- sum(is.na(original$CHG)) cat(\"Missing values in original data:\", n_missing, \"\\n\") #> Missing values in original data: 44 vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\" ) reduced <- reduce_imputed_data(ADMI, original, vars) cat(\"Full imputed rows:\", nrow(ADMI), \"\\n\") #> Full imputed rows: 100000 cat(\"Reduced rows:\", nrow(reduced), \"\\n\") #> Reduced rows: 4400 cat(\"Compression ratio:\", round(100 * nrow(reduced) / nrow(ADMI), 1), \"%\\n\") #> Compression ratio: 4.4 %"},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"whats-in-the-reduced-data","dir":"Articles","previous_headings":"","what":"What’s in the Reduced Data?","title":"Efficient Storage of Imputed Data","text":"reduced dataset contains rows originally missing: row represents imputed value specific subject-visit-imputation combination.","code":"# First few rows head(reduced) #> # A tibble: 6 × 12 #> IMPID STRATA REGION REGIONC TRT BASE CHG AVISIT USUBJID CRIT1FLN CRIT1FL #> #> 1 1 A North … 1 Plac… 12 -1.96 Week … ID011 0 N #> 2 1 A Europe 3 Drug… 3 -3.71 Week … ID014 0 N #> 3 1 B Europe 3 Drug… 9 -1.96 Week … ID018 0 N #> 4 1 A Asia 4 Drug… 10 -5.55 Week … ID033 0 N #> 5 1 A Asia 4 Drug… 0 -1.28 Week … ID061 0 N #> 6 1 A South … 2 Plac… 5 -2.60 Week … ID071 0 N #> # ℹ 1 more variable: CRIT # Structure matches original imputed data cat(\"\\nColumns in reduced data:\\n\") #> #> Columns in reduced data: cat(paste(names(reduced), collapse = \", \")) #> IMPID, STRATA, REGION, REGIONC, TRT, BASE, CHG, AVISIT, USUBJID, CRIT1FLN, CRIT1FL, CRIT"},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"expanding-back-to-full-data","dir":"Articles","previous_headings":"","what":"Expanding Back to Full Data","title":"Efficient Storage of Imputed Data","text":"need run analyses, expand reduced data back full form:","code":"expanded <- expand_imputed_data(reduced, original, vars) cat(\"Expanded rows:\", nrow(expanded), \"\\n\") #> Expanded rows: 100000 cat(\"Original ADMI rows:\", nrow(ADMI), \"\\n\") #> Original ADMI rows: 100000"},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"verifying-data-integrity","dir":"Articles","previous_headings":"","what":"Verifying Data Integrity","title":"Efficient Storage of Imputed Data","text":"Let’s verify round-trip preserves data integrity:","code":"# Sort both datasets for comparison admi_sorted <- ADMI |> arrange(IMPID, USUBJID, AVISIT) expanded_sorted <- expanded |> arrange(IMPID, USUBJID, AVISIT) # Compare CHG values all_equal <- all.equal( admi_sorted$CHG, expanded_sorted$CHG, tolerance = 1e-10 ) cat(\"Data integrity check:\", all_equal, \"\\n\") #> Data integrity check: TRUE"},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"practical-workflow","dir":"Articles","previous_headings":"","what":"Practical Workflow","title":"Efficient Storage of Imputed Data","text":"’s integrate efficient storage workflow:","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"save-reduced-data","dir":"Articles","previous_headings":"Practical Workflow","what":"Save Reduced Data","title":"Efficient Storage of Imputed Data","text":"","code":"# After imputation impute_obj <- impute(draws_obj, references = c(\"Placebo\" = \"Placebo\", \"Drug A\" = \"Placebo\")) full_imputed <- get_imputed_data(impute_obj) # Reduce for storage reduced <- reduce_imputed_data(full_imputed, original_data, vars) # Save both (reduced is much smaller) saveRDS(reduced, \"imputed_reduced.rds\") saveRDS(original_data, \"original_data.rds\")"},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"load-and-analyse","dir":"Articles","previous_headings":"Practical Workflow","what":"Load and Analyse","title":"Efficient Storage of Imputed Data","text":"","code":"# Load saved data reduced <- readRDS(\"imputed_reduced.rds\") original_data <- readRDS(\"original_data.rds\") # Expand when needed for analysis full_imputed <- expand_imputed_data(reduced, original_data, vars) # Run analysis ana_obj <- analyse_mi_data( data = full_imputed, vars = vars, method = method, fun = ancova )"},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"storage-comparison","dir":"Articles","previous_headings":"","what":"Storage Comparison","title":"Efficient Storage of Imputed Data","text":"’s comparison storage requirements different scenarios: savings scale : Lower missing % = greater savings imputations = relative savings, absolute reduction","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"when-to-use-this-approach","dir":"Articles","previous_headings":"","what":"When to Use This Approach","title":"Efficient Storage of Imputed Data","text":"Use reduced storage : Running many imputations (100+) Saving imputed data later analysis Sharing data team members Working memory constraints Keep full data : Working interactively imputations Performing exploratory analysis Storage concern","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"no-missing-data","dir":"Articles","previous_headings":"Edge Cases","what":"No Missing Data","title":"Efficient Storage of Imputed Data","text":"original data missing values, reduce_imputed_data() returns empty data.frame:","code":"# If original has no missing values reduced <- reduce_imputed_data(full_imputed, complete_data, vars) nrow(reduced) #> [1] 0 # expand_imputed_data handles this correctly expanded <- expand_imputed_data(reduced, complete_data, vars) # Returns original data with IMPID = \"1\""},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"single-imputation","dir":"Articles","previous_headings":"Edge Cases","what":"Single Imputation","title":"Efficient Storage of Imputed Data","text":"functions work number imputations, including just one.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html","id":"summary","dir":"Articles","previous_headings":"","what":"Summary","title":"Efficient Storage of Imputed Data","text":"reduce_imputed_data() expand_imputed_data() functions provide efficient way store imputed datasets: Reduce imputation store ’s necessary Expand analysis reconstruct full datasets Verify data integrity preserved round-trip approach particularly valuable working large numbers imputations storage memory constrained. complete analysis workflow using imputed data, see vignette('pipeline').","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"From rbmi Analysis to Regulatory Tables","text":"Clinical trial analyses use reference-based multiple imputation typically involve several steps: fitting imputation model, generating imputed datasets, applying analysis dataset, pooling results using Rubin’s rules. rbmi package implements pipeline draws(), impute(), analyse(), pool() functions. However, turning pooled results publication-ready outputs – formatted tables forest plots suitable regulatory submissions – requires additional work. rbmiUtils package bridges gap. provides utilities sit top rbmi, transforming pooled analysis objects tidy data frames, regulatory-style efficacy tables, three-panel forest plots. also includes data preparation helpers catch common issues computationally expensive imputation step. vignette, walk complete pipeline raw clinical trial data two publication-ready outputs: efficacy summary table forest plot. end, seen every major step typical rbmi + rbmiUtils workflow. focused reference analysis functions, see analyse2 vignette. detailed guidance data preparation, see data preparation vignette.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"setup-and-data","dir":"Articles","previous_headings":"","what":"Setup and Data","title":"From rbmi Analysis to Regulatory Tables","text":"begin loading packages need. core pipeline requires rbmi rbmiUtils, dplyr data manipulation. reporting outputs use gt (tables) ggplot2 + patchwork (plots), optional dependencies. ADEFF dataset bundled rbmiUtils simulated ADaM-style efficacy dataset two-arm clinical trial. contains continuous change--baseline outcomes (CHG) measured two visits (Week 24 Week 48), realistic missing data patterns across 500 subjects. entering rbmi pipeline, convert key grouping columns factors. Factor levels control ordering treatment arms visits throughout analysis, important set explicitly.","code":"library(rbmi) library(rbmiUtils) library(dplyr) data(\"ADEFF\", package = \"rbmiUtils\") str(ADEFF) #> tibble [1,000 × 10] (S3: tbl_df/tbl/data.frame) #> $ USUBJID: chr [1:1000] \"ID001\" \"ID001\" \"ID002\" \"ID002\" ... #> ..- attr(*, \"label\")= chr \"Unique patient identifier\" #> $ STRATA : chr [1:1000] \"A\" \"A\" \"A\" \"A\" ... #> ..- attr(*, \"label\")= chr \"Stratification at randomisation\" #> $ REGION : chr [1:1000] \"North America\" \"North America\" \"Asia\" \"Asia\" ... #> ..- attr(*, \"label\")= chr \"Stratification by region\" #> $ REGIONC: num [1:1000] 1 1 4 4 2 2 3 3 2 2 ... #> ..- attr(*, \"label\")= chr \"Stratification by region, numeric code\" #> $ TRT01P : chr [1:1000] \"Drug A\" \"Drug A\" \"Drug A\" \"Drug A\" ... #> ..- attr(*, \"label\")= chr \"Planned treatment\" #> $ BASE : num [1:1000] 16 16 10 10 12 12 11 11 9 9 ... #> ..- attr(*, \"label\")= chr \"Baseline value of primary outcome variable\" #> $ AVISIT : chr [1:1000] \"Week 24\" \"Week 48\" \"Week 24\" \"Week 48\" ... #> ..- attr(*, \"label\")= chr \"Visit number\" #> $ AVAL : num [1:1000] 12 13 7 5 9 10 9 13 4 0 ... #> ..- attr(*, \"label\")= chr \"Primary outcome variable\" #> $ PARAM : chr [1:1000] \"ESSDAI score\" \"ESSDAI score\" \"ESSDAI score\" \"ESSDAI score\" ... #> ..- attr(*, \"label\")= chr \"Analysis parameter name\" #> $ CHG : num [1:1000] -4 -3 -3 -5 -3 -2 -2 2 -5 -9 ... #> ..- attr(*, \"label\")= chr \"Change from baseline\" ADEFF <- ADEFF |> mutate( TRT = factor(TRT01P, levels = c(\"Placebo\", \"Drug A\")), USUBJID = factor(USUBJID), AVISIT = factor(AVISIT, levels = c(\"Week 24\", \"Week 48\")) )"},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"data-preparation","dir":"Articles","previous_headings":"","what":"Data Preparation","title":"From rbmi Analysis to Regulatory Tables","text":"running imputation model, worth investing moment validate data understand missing data patterns. checks can save considerable time catching issues computationally intensive draws() step.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"validation","dir":"Articles","previous_headings":"Data Preparation","what":"Validation","title":"From rbmi Analysis to Regulatory Tables","text":"validate_data() function performs comprehensive set pre-flight checks: verifies required columns exist, factors properly typed, outcome numeric, covariates missing values, duplicate subject-visit rows. successful validation returns TRUE silently. issues found, problems reported together single error message can fix one pass.","code":"vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) validate_data(ADEFF, vars)"},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"missingness-summary","dir":"Articles","previous_headings":"Data Preparation","what":"Missingness Summary","title":"From rbmi Analysis to Regulatory Tables","text":"summarise_missingness() function characterises missing data patterns dataset, classifying subject complete, monotone (dropout), intermittent. summary helps decide appropriate imputation strategy. datasets require intercurrent event (ICE) handling, rbmiUtils also provides prepare_data_ice() build data_ice data frame flag columns – see data preparation vignette details.","code":"miss <- summarise_missingness(ADEFF, vars) print(miss$summary) #> # A tibble: 2 × 5 #> group n_subjects n_complete n_monotone n_intermittent #> #> 1 Drug A 261 239 11 11 #> 2 Placebo 239 217 16 6"},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"rbmi-analysis-pipeline","dir":"Articles","previous_headings":"","what":"rbmi Analysis Pipeline","title":"From rbmi Analysis to Regulatory Tables","text":"data validated, now run core rbmi pipeline. consists four steps: specifying imputation method, fitting imputation model, generating imputed datasets, analysing one.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"specify-the-imputation-method","dir":"Articles","previous_headings":"rbmi Analysis Pipeline","what":"Specify the Imputation Method","title":"From rbmi Analysis to Regulatory Tables","text":"method_bayes() function configures Bayesian multiple imputation using MCMC sampling. use small number samples short warmup period keep vignette build time manageable. real analysis, typically use samples (e.g., n_samples = 500 ) better precision. details statistical methodology, see rbmi quickstart vignette.","code":"set.seed(1974) method <- method_bayes( n_samples = 100, control = control_bayes(warmup = 200, thin = 2) )"},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"fit-the-imputation-model","dir":"Articles","previous_headings":"rbmi Analysis Pipeline","what":"Fit the Imputation Model","title":"From rbmi Analysis to Regulatory Tables","text":"draws() function fits Bayesian imputation model. computationally intensive step pipeline. pass dataset columns needed model.","code":"dat <- ADEFF |> select(USUBJID, STRATA, REGION, TRT, BASE, CHG, AVISIT) draws_obj <- draws(data = dat, vars = vars, method = method) #> Running /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/bin/R \\ #> CMD SHLIB foo.c #> using C compiler: ‘Apple clang version 17.0.0 (clang-1700.6.3.2)’ #> using SDK: ‘MacOSX26.2.sdk’ #> clang -arch arm64 -I\"/Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/include\" -DNDEBUG -I\"/Users/bailliem/Library/R/arm64/4.4/library/Rcpp/include/\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/unsupported\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/BH/include\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/src/\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/RcppParallel/include/\" -I\"/Users/bailliem/Library/R/arm64/4.4/library/rstan/include\" -DEIGEN_NO_DEBUG -DBOOST_DISABLE_ASSERTS -DBOOST_PENDING_INTEGER_LOG2_HPP -DSTAN_THREADS -DUSE_STANC3 -DSTRICT_R_HEADERS -DBOOST_PHOENIX_NO_VARIADIC_EXPRESSION -D_HAS_AUTO_PTR_ETC=0 -include '/Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp' -D_REENTRANT -DRCPP_PARALLEL_USE_TBB=1 -I/opt/R/arm64/include -fPIC -falign-functions=64 -Wall -g -O2 -c foo.c -o foo.o #> In file included from :1: #> In file included from /Users/bailliem/Library/R/arm64/4.4/library/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22: #> In file included from /Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/Eigen/Dense:1: #> In file included from /Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/Eigen/Core:19: #> /Users/bailliem/Library/R/arm64/4.4/library/RcppEigen/include/Eigen/src/Core/util/Macros.h:679:10: fatal error: 'cmath' file not found #> 679 | #include #> | ^~~~~~~ #> 1 error generated. #> make: *** [foo.o] Error 1 #> #> SAMPLING FOR MODEL 'rbmi_MMRM_us_default' NOW (CHAIN 1). #> Chain 1: #> Chain 1: Gradient evaluation took 0.000227 seconds #> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.27 seconds. #> Chain 1: Adjust your expectations accordingly! #> Chain 1: #> Chain 1: #> Chain 1: Iteration: 1 / 400 [ 0%] (Warmup) #> Chain 1: Iteration: 40 / 400 [ 10%] (Warmup) #> Chain 1: Iteration: 80 / 400 [ 20%] (Warmup) #> Chain 1: Iteration: 120 / 400 [ 30%] (Warmup) #> Chain 1: Iteration: 160 / 400 [ 40%] (Warmup) #> Chain 1: Iteration: 200 / 400 [ 50%] (Warmup) #> Chain 1: Iteration: 201 / 400 [ 50%] (Sampling) #> Chain 1: Iteration: 240 / 400 [ 60%] (Sampling) #> Chain 1: Iteration: 280 / 400 [ 70%] (Sampling) #> Chain 1: Iteration: 320 / 400 [ 80%] (Sampling) #> Chain 1: Iteration: 360 / 400 [ 90%] (Sampling) #> Chain 1: Iteration: 400 / 400 [100%] (Sampling) #> Chain 1: #> Chain 1: Elapsed Time: 0.321 seconds (Warm-up) #> Chain 1: 0.247 seconds (Sampling) #> Chain 1: 0.568 seconds (Total) #> Chain 1: #> Warning: The Effective Sample Size is below 40% for 1 parameters. Please #> consider increasing burn-in and/or burn-between, or the number of samples"},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"generate-imputed-datasets","dir":"Articles","previous_headings":"rbmi Analysis Pipeline","what":"Generate Imputed Datasets","title":"From rbmi Analysis to Regulatory Tables","text":"impute() function generates complete datasets specified reference-based assumption. use jump--reference approach arms imputed reference (Placebo) distribution.","code":"impute_obj <- impute( draws_obj, references = c(\"Placebo\" = \"Placebo\", \"Drug A\" = \"Placebo\") )"},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"analyse-each-imputed-dataset","dir":"Articles","previous_headings":"rbmi Analysis Pipeline","what":"Analyse Each Imputed Dataset","title":"From rbmi Analysis to Regulatory Tables","text":"Rather calling rbmi::analyse() directly, rbmiUtils provides analyse_mi_data(), wraps analyse step work stacked imputed data format. applies analysis function – , built-ancova function – imputed dataset stores results pooling. First, extract imputed data stacked data frame using get_imputed_data(): analyse:","code":"ADMI <- get_imputed_data(impute_obj) ana_obj <- analyse_mi_data( data = ADMI, vars = vars, method = method, fun = ancova )"},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"pool-results","dir":"Articles","previous_headings":"rbmi Analysis Pipeline","what":"Pool Results","title":"From rbmi Analysis to Regulatory Tables","text":"Finally, pool() combines per-imputation results using Rubin’s rules produce single set estimates, standard errors, confidence intervals, p-values.","code":"pool_obj <- pool(ana_obj) print(pool_obj) #> #> ── Pool Object ───────────────────────────────────────────────────────────────── #> 6 parameters across 2 visits #> Method: rubin #> N imputations: 100 #> Confidence: 95% #> ──────────────────────────────────────────────────────────────────────────────── #> parameter visit est lci uci pval #> trt_Week 24 Week 24 -2.18 -2.53 -1.82 < 0.001 #> lsm_ref_Week 24 Week 24 0.08 -0.18 0.33 0.560 #> lsm_alt_Week 24 Week 24 -2.10 -2.35 -1.85 < 0.001 #> trt_Week 48 Week 48 -3.81 -4.31 -3.30 < 0.001 #> lsm_ref_Week 48 Week 48 0.04 -0.32 0.41 0.814 #> lsm_alt_Week 48 Week 48 -3.76 -4.11 -3.42 < 0.001"},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"tidying-results","dir":"Articles","previous_headings":"","what":"Tidying Results","title":"From rbmi Analysis to Regulatory Tables","text":"pool object contains information need, structure immediately convenient reporting. tidy_pool_obj() function converts tidy tibble clearly labelled columns. row represents one parameter one visit. key columns : parameter: raw parameter name pool object parameter_type: \"trt\" treatment differences, \"lsm\" least squares means lsm_type: \"ref\" \"alt\" LS mean rows visit: visit name est, se, lci, uci, pval: numeric results tidy format foundation downstream reporting. can filter, reshape, format needed specific tables.","code":"tidy_df <- tidy_pool_obj(pool_obj) print(tidy_df) #> # A tibble: 6 × 10 #> parameter description visit parameter_type lsm_type est se lci #> #> 1 trt_Week 24 Treatment … Week… trt NA -2.18 0.182 -2.53 #> 2 lsm_ref_Week 24 Least Squa… Week… lsm ref 0.0764 0.131 -0.181 #> 3 lsm_alt_Week 24 Least Squa… Week… lsm alt -2.10 0.125 -2.35 #> 4 trt_Week 48 Treatment … Week… trt NA -3.81 0.256 -4.31 #> 5 lsm_ref_Week 48 Least Squa… Week… lsm ref 0.0436 0.185 -0.320 #> 6 lsm_alt_Week 48 Least Squa… Week… lsm alt -3.76 0.175 -4.11 #> # ℹ 2 more variables: uci , pval "},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"efficacy-table","dir":"Articles","previous_headings":"","what":"Efficacy Table","title":"From rbmi Analysis to Regulatory Tables","text":"efficacy_table() function takes pool object produces regulatory-style gt table format commonly seen ICH/CDISC Table 14.2.x submissions. displays LS means arm, treatment differences, confidence intervals, p-values, organised visit. can customise table descriptive titles treatment arm labels match study protocol: returned object standard gt table, can apply gt customisation top. example, add footnotes, adjust column widths, change table styling using gt::tab_options().","code":"tbl <- efficacy_table(pool_obj) tbl tbl_custom <- efficacy_table( pool_obj, title = \"Table 14.2.1: ANCOVA of Change from Baseline\", subtitle = \"Reference-Based Multiple Imputation (Jump to Reference)\", arm_labels = c(ref = \"Placebo\", alt = \"Drug A\") ) tbl_custom"},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"forest-plot","dir":"Articles","previous_headings":"","what":"Forest Plot","title":"From rbmi Analysis to Regulatory Tables","text":"plot_forest() function creates three-panel forest plot: text panel visit labels formatted estimates, graphical panel point estimates confidence interval whiskers, p-value panel.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"treatment-difference-mode","dir":"Articles","previous_headings":"Forest Plot","what":"Treatment Difference Mode","title":"From rbmi Analysis to Regulatory Tables","text":"default display = \"trt\" mode shows treatment differences across visits, vertical reference line zero. Filled circles indicate visits confidence interval excludes zero (statistically significant); open circles indicate non-significant results.","code":"p <- plot_forest( pool_obj, title = \"Treatment Effect: Change from Baseline (Drug A vs Placebo)\" ) p"},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"ls-mean-display-mode","dir":"Articles","previous_headings":"Forest Plot","what":"LS Mean Display Mode","title":"From rbmi Analysis to Regulatory Tables","text":"display = \"lsm\" mode shows LS mean estimates treatment arm, colour-coded using Okabe-Ito colourblind-friendly palette. plot modes return patchwork object can customise using & theme() operator. example, increase text size across panels:","code":"p_lsm <- plot_forest( pool_obj, display = \"lsm\", arm_labels = c(ref = \"Placebo\", alt = \"Drug A\"), title = \"LS Mean Estimates by Visit\" ) p_lsm plot_forest(pool_obj) & ggplot2::theme(text = ggplot2::element_text(size = 14))"},{"path":"https://openpharma.github.io/rbmiUtils/articles/pipeline.html","id":"appendix-binaryresponder-analysis","dir":"Articles","previous_headings":"","what":"Appendix: Binary/Responder Analysis","title":"From rbmi Analysis to Regulatory Tables","text":"pipeline binary responder endpoints follows overall structure, differs two key ways: analysis function uses g-computation logistic regression instead ANCOVA, responder variable derived continuous outcome. section, use pre-computed ADMI dataset bundled rbmiUtils. dataset already contains 100 imputed copies trial data binary responder variable (CRIT1FLN), skip draws() impute() steps. gcomp_responder_multi() function applies g-computation via beeca visit. fits logistic regression model uses method Ge et al. estimate covariate-adjusted marginal treatment effects. reporting functions work seamlessly binary pool object: demonstrates efficacy_table() plot_forest() output-agnostic: work pool object produced rbmi pipeline, whether underlying analysis used ANCOVA continuous endpoint g-computation binary one.","code":"data(\"ADMI\", package = \"rbmiUtils\") ADMI_binary <- ADMI |> mutate( TRT = factor(TRT, levels = c(\"Placebo\", \"Drug A\")), USUBJID = factor(USUBJID), AVISIT = factor(AVISIT), STRATA = factor(STRATA), REGION = factor(REGION) ) vars_binary <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CRIT1FLN\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) method_binary <- method_bayes( n_samples = 100, control = control_bayes(warmup = 200, thin = 2) ) ana_obj_binary <- analyse_mi_data( data = ADMI_binary, vars = vars_binary, method = method_binary, fun = gcomp_responder_multi, reference_levels = \"Placebo\" ) #> Warning: `extract_covariates2()` was deprecated in rbmiUtils 0.2.0. #> ℹ Internal helper will be removed in a future version. #> ℹ The deprecated feature was likely used in the rbmiUtils package. #> Please report the issue at . #> This warning is displayed once per session. #> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was #> generated. #> Warning: `as_simple_formula2()` was deprecated in rbmiUtils 0.2.0. #> ℹ Internal helper will be removed in a future version. #> ℹ The deprecated feature was likely used in the rbmiUtils package. #> Please report the issue at . #> This warning is displayed once per session. #> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was #> generated. pool_obj_binary <- pool(ana_obj_binary) print(pool_obj_binary) #> #> ── Pool Object ───────────────────────────────────────────────────────────────── #> 6 parameters across 4 visits #> Method: rubin #> N imputations: 100 #> Confidence: 95% #> ──────────────────────────────────────────────────────────────────────────────── #> parameter visit est lci uci pval #> trt_Drug A-Placebo_Week 24 Drug A-Placebo_Week 24 -0.03 -0.05 -0.01 0.007 #> lsm_Drug A_Week 24 Week 24 0.00 0.00 0.00 0.921 #> lsm_Placebo_Week 24 Week 24 0.03 0.01 0.05 0.007 #> trt_Drug A-Placebo_Week 48 Drug A-Placebo_Week 48 -0.10 -0.14 -0.05 < 0.001 #> lsm_Drug A_Week 48 Week 48 0.01 0.00 0.02 0.150 #> lsm_Placebo_Week 48 Week 48 0.10 0.06 0.14 < 0.001 tidy_pool_obj(pool_obj_binary) #> # A tibble: 6 × 10 #> parameter description visit parameter_type lsm_type est se lci #> #> 1 trt_Drug … Treatment … Drug… trt NA -3.08e-2 1.15e-2 -0.0534 #> 2 lsm_Drug … Least Squa… Week… lsm Drug A 7.79e-5 7.85e-4 -0.00146 #> 3 lsm_Place… Least Squa… Week… lsm Placebo 3.09e-2 1.15e-2 0.00843 #> 4 trt_Drug … Treatment … Drug… trt NA -9.57e-2 2.10e-2 -0.137 #> 5 lsm_Drug … Least Squa… Week… lsm Drug A 7.27e-3 5.04e-3 -0.00262 #> 6 lsm_Place… Least Squa… Week… lsm Placebo 1.03e-1 2.06e-2 0.0627 #> # ℹ 2 more variables: uci , pval efficacy_table( pool_obj_binary, title = \"Table 14.2.2: Responder Analysis (CHG > 3)\", subtitle = \"G-computation with Marginal Effects\", arm_labels = c(ref = \"Placebo\", alt = \"Drug A\") ) plot_forest( pool_obj_binary, title = \"Responder Rate Difference (Drug A vs Placebo)\" )"},{"path":"https://openpharma.github.io/rbmiUtils/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Mark Baillie. Author, maintainer, copyright holder. Tobias Mütze. Author. Jack Talboys. Author. Lukas . Widmer. Contributor.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Baillie M, Mütze T, Talboys J (2026). rbmiUtils: Utility Functions Support Extend 'rbmi' Package. R package version 0.3.0, https://github.com/openpharma/rbmiUtils.","code":"@Manual{, title = {rbmiUtils: Utility Functions to Support and Extend the 'rbmi' Package}, author = {Mark Baillie and Tobias Mütze and Jack Talboys}, year = {2026}, note = {R package version 0.3.0}, url = {https://github.com/openpharma/rbmiUtils}, }"},{"path":"https://openpharma.github.io/rbmiUtils/index.html","id":"rbmiutils---","dir":"","previous_headings":"","what":"rbmiUtils: Utility Functions to Support and Extend rbmi","title":"rbmiUtils: Utility Functions to Support and Extend rbmi","text":"rbmiUtils bridges rbmi analysis results publication-ready regulatory tables forest plots. extends rbmi clinical trial workflows, handling everything data validation formatted efficacy outputs.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"rbmiUtils: Utility Functions to Support and Extend rbmi","text":"can install package CRAN development version GitHub:","code":""},{"path":"https://openpharma.github.io/rbmiUtils/index.html","id":"quick-start","dir":"","previous_headings":"","what":"Quick Start","title":"rbmiUtils: Utility Functions to Support and Extend rbmi","text":"rbmiUtils extends rbmi pipeline raw data publication-ready outputs. complete workflow using bundled ADEFF dataset: Forest Plot Forest Plot Efficacy Table Efficacy Table See end--end pipeline vignette complete walkthrough raw data outputs.","code":"library(rbmiUtils) library(rbmi) library(dplyr) # Load example efficacy dataset and prepare factors data(\"ADEFF\", package = \"rbmiUtils\") ADEFF <- ADEFF |> mutate( TRT = factor(TRT01P, levels = c(\"Placebo\", \"Drug A\")), USUBJID = factor(USUBJID), AVISIT = factor(AVISIT, levels = c(\"Week 24\", \"Week 48\")) ) # Define analysis variables vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) # Configure Bayesian imputation method method <- method_bayes( n_samples = 100, control = control_bayes(warmup = 200, thin = 2) ) # Step 1: Fit imputation model (draws) dat <- ADEFF |> select(USUBJID, STRATA, REGION, TRT, BASE, CHG, AVISIT) draws_obj <- draws(data = dat, vars = vars, method = method) # Step 2: Generate imputed datasets impute_obj <- impute( draws_obj, references = c(\"Placebo\" = \"Placebo\", \"Drug A\" = \"Placebo\") ) # Step 3: Extract stacked imputed data ADMI <- get_imputed_data(impute_obj) # Step 4: Analyse each imputed dataset ana_obj <- analyse_mi_data(data = ADMI, vars = vars, method = method, fun = ancova) # Step 5: Pool results using Rubin's rules pool_obj <- pool(ana_obj) # Publication-ready outputs efficacy_table(pool_obj, arm_labels = c(ref = \"Placebo\", alt = \"Drug A\")) plot_forest(pool_obj, arm_labels = c(ref = \"Placebo\", alt = \"Drug A\"))"},{"path":"https://openpharma.github.io/rbmiUtils/index.html","id":"key-features","dir":"","previous_headings":"","what":"Key Features","title":"rbmiUtils: Utility Functions to Support and Extend rbmi","text":"validate_data() – pre-flight checks data structure imputation analyse_mi_data() – run ANCOVA (custom analysis) across imputations tidy_pool_obj() – tidy pooled results visit-level annotations efficacy_table() – regulatory-style gt tables (CDISC/ICH Table 14.2.x format) plot_forest() – three-panel forest plots estimates, CIs, p-values pool_to_ard() – convert pool objects pharmaverse ARD format optional MI diagnostic enrichment (FMI, lambda, RIV) get_imputed_data() – extract long-format imputed datasets describe_draws() – inspect draws objects (method, samples, convergence diagnostics) describe_imputation() – inspect imputation objects (method, M, missingness breakdown) format_pvalue() / format_estimate() – publication-ready formatting","code":""},{"path":"https://openpharma.github.io/rbmiUtils/index.html","id":"learn-more","dir":"","previous_headings":"","what":"Learn More","title":"rbmiUtils: Utility Functions to Support and Extend rbmi","text":"rbmi Analysis Regulatory Tables – end--end walkthrough raw data regulatory outputs Storing Analyzing Imputed Data – focused guide analysis workflows MI Diagnostics Describe Helpers – inspecting draws, imputations, MI diagnostic statistics Package documentation","code":""},{"path":"https://openpharma.github.io/rbmiUtils/index.html","id":"development-status","dir":"","previous_headings":"","what":"Development Status","title":"rbmiUtils: Utility Functions to Support and Extend rbmi","text":"package experimental active development. Feedback contributions welcome via GitHub issues pull requests.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/ADEFF.html","id":null,"dir":"Reference","previous_headings":"","what":"Example efficacy trial dataset — ADEFF","title":"Example efficacy trial dataset — ADEFF","text":"simplified example simulated trial dataset, missing data.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/ADEFF.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example efficacy trial dataset — ADEFF","text":"","code":"ADEFF"},{"path":"https://openpharma.github.io/rbmiUtils/reference/ADEFF.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example efficacy trial dataset — ADEFF","text":"ADEFF data frame 1,000 rows 10 columns: USUBJID Unique subject identifier AVAL Primary outcome variable TRT01P Planned treatment STRATA Stratification randomisation REGION Stratification region REGIONC Stratification region, numeric code BASE Baseline value primary outcome variable CHG Change baseline AVISIT Visit number PARAM Analysis parameter name","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/ADMI.html","id":null,"dir":"Reference","previous_headings":"","what":"Example multiple imputation trial dataset — ADMI","title":"Example multiple imputation trial dataset — ADMI","text":"simplified example simulated trial ADMI dataset","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/ADMI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Example multiple imputation trial dataset — ADMI","text":"","code":"ADMI"},{"path":"https://openpharma.github.io/rbmiUtils/reference/ADMI.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Example multiple imputation trial dataset — ADMI","text":"ADMI data frame 100,000 rows 12 columns: USUBJID Unique patient identifier STRATA Stratification randomisation REGION Stratification region REGIONC Stratification region, numeric code TRT Planned treatment BASE Baseline value primary outcome variable CHG Change baseline AVISIT Visit number IMPID Imputation number identifier CRIT1FLN Responder criteria (binary) CRIT1FL Responder criteria (categorical) CRIT Responder criteria (definition)","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/analyse_mi_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply Analysis Function to Multiple Imputed Datasets — analyse_mi_data","title":"Apply Analysis Function to Multiple Imputed Datasets — analyse_mi_data","text":"function applies analysis function (e.g., ANCOVA) imputed datasets stores results later pooling. designed work multiple imputed datasets apply given analysis function imputation iteration.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/analyse_mi_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply Analysis Function to Multiple Imputed Datasets — analyse_mi_data","text":"","code":"analyse_mi_data( data = NULL, vars = NULL, method = NULL, fun = rbmi::ancova, delta = NULL, ... )"},{"path":"https://openpharma.github.io/rbmiUtils/reference/analyse_mi_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply Analysis Function to Multiple Imputed Datasets — analyse_mi_data","text":"data data frame containing imputed datasets. data frame include variable (e.g., IMPID) identifies distinct imputation iterations. Typically obtained get_imputed_data() expand_imputed_data(). vars list specifying key variables used analysis (e.g., subjid, visit, group, outcome). Created using rbmi::set_vars(). Required. method method object specifying imputation method used (e.g., Bayesian imputation). Created using rbmi::method_bayes(), rbmi::method_approxbayes(), rbmi::method_condmean(). Required. fun function applied imputed dataset. Defaults rbmi::ancova. options include gcomp_responder_multi() binary outcomes. Must valid analysis function. delta data.frame used delta adjustments, NULL delta adjustments needed. Defaults NULL. Must contain columns matching vars$subjid, vars$visit, vars$group, delta column. ... Additional arguments passed analysis function fun.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/analyse_mi_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Apply Analysis Function to Multiple Imputed Datasets — analyse_mi_data","text":"object class analysis containing results applying analysis function imputed dataset. Pass rbmi::pool() obtain pooled estimates.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/analyse_mi_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Apply Analysis Function to Multiple Imputed Datasets — analyse_mi_data","text":"function loops distinct imputation datasets (identified IMPID), applies provided analysis function fun, stores results later pooling. delta dataset provided, merged imputed data apply specified delta adjustment analysis. Workflow: Prepare imputed data using get_imputed_data() expand_imputed_data() Define variables using rbmi::set_vars() Call analyse_mi_data() apply analysis imputation Pool results using rbmi::pool() Tidy results using tidy_pool_obj()","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/analyse_mi_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Apply Analysis Function to Multiple Imputed Datasets — analyse_mi_data","text":"","code":"# Example usage with an ANCOVA function library(dplyr) #> Warning: package ‘dplyr’ was built under R version 4.4.3 #> #> Attaching package: ‘dplyr’ #> The following objects are masked from ‘package:stats’: #> #> filter, lag #> The following objects are masked from ‘package:base’: #> #> intersect, setdiff, setequal, union library(rbmi) #> Warning: package ‘rbmi’ was built under R version 4.4.3 library(rbmiUtils) set.seed(123) data(\"ADMI\") # Convert key columns to factors ADMI$TRT <- factor(ADMI$TRT, levels = c(\"Placebo\", \"Drug A\")) ADMI$USUBJID <- factor(ADMI$USUBJID) ADMI$AVISIT <- factor(ADMI$AVISIT) # Define key variables for ANCOVA analysis vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") # Covariates for adjustment ) # Specify the imputation method (Bayesian) - need for pool step method <- rbmi::method_bayes( n_samples = 20, control = rbmi::control_bayes( warmup = 20, thin = 1 ) ) # Perform ANCOVA Analysis on Each Imputed Dataset ana_obj_ancova <- analyse_mi_data( data = ADMI, vars = vars, method = method, fun = ancova, # Apply ANCOVA delta = NULL # No sensitivity analysis adjustment ) #> Warning: Data contains 100 imputations but method expects 20. Using first 20 #> imputations."},{"path":"https://openpharma.github.io/rbmiUtils/reference/as_analysis2.html","id":null,"dir":"Reference","previous_headings":"","what":"Construct an rbmi analysis object — as_analysis2","title":"Construct an rbmi analysis object — as_analysis2","text":"helper function create analysis object stores results multiple imputation analyses. validates results ensures proper class assignment. modification rbmi::as_analysis function. function deprecated removed future version.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/as_analysis2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Construct an rbmi analysis object — as_analysis2","text":"","code":"as_analysis2(results, method, delta = NULL, fun = NULL, fun_name = NULL)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/as_analysis2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Construct an rbmi analysis object — as_analysis2","text":"results list containing analysis results imputation. method method object used imputation. delta Optional. delta dataset used adjustment. fun analysis function used. fun_name name analysis function (used printing).","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/as_analysis2.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Construct an rbmi analysis object — as_analysis2","text":"object class analysis results associated metadata.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/as_simple_formula2.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert character variable list to formula — as_simple_formula2","title":"Convert character variable list to formula — as_simple_formula2","text":"function deprecated removed future version.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/as_simple_formula2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert character variable list to formula — as_simple_formula2","text":"","code":"as_simple_formula2(outcome, covars)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/as_simple_formula2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert character variable list to formula — as_simple_formula2","text":"outcome Character string, outcome variable. covars Character vector covariates.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/as_simple_formula2.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert character variable list to formula — as_simple_formula2","text":"formula object.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/combine_results.html","id":null,"dir":"Reference","previous_headings":"","what":"Combine Results Across Multiple Analyses — combine_results","title":"Combine Results Across Multiple Analyses — combine_results","text":"Combines tidy result tibbles multiple analyses (e.g., different endpoints subgroups) single table identifying column.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/combine_results.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Combine Results Across Multiple Analyses — combine_results","text":"","code":"combine_results(..., results_list = NULL, id_col = \"analysis\")"},{"path":"https://openpharma.github.io/rbmiUtils/reference/combine_results.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Combine Results Across Multiple Analyses — combine_results","text":"... Named arguments tidy result tibble tidy_pool_obj(). results_list Alternative ...: named list tidy result tibbles. id_col Character string specifying name identifier column. Default \"analysis\".","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/combine_results.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Combine Results Across Multiple Analyses — combine_results","text":"tibble results combined, additional column identifying source analysis.","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/combine_results.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Combine Results Across Multiple Analyses — combine_results","text":"","code":"# \\donttest{ library(rbmi) library(dplyr) # Assuming you have multiple pooled results # results_week24 <- tidy_pool_obj(pool_obj_week24) # results_week48 <- tidy_pool_obj(pool_obj_week48) # Combine them # combined <- combine_results( # \"Week 24\" = results_week24, # \"Week 48\" = results_week48 # ) # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/create_impid.html","id":null,"dir":"Reference","previous_headings":"","what":"Create IMPID Column for Imputed Datasets — create_impid","title":"Create IMPID Column for Imputed Datasets — create_impid","text":"Adds IMPID column list imputed datasets, converting single stacked data.frame suitable use analyse_mi_data().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/create_impid.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create IMPID Column for Imputed Datasets — create_impid","text":"","code":"create_impid(imputed_list, id_prefix = \"\")"},{"path":"https://openpharma.github.io/rbmiUtils/reference/create_impid.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create IMPID Column for Imputed Datasets — create_impid","text":"imputed_list list data.frames, element represents one imputed dataset. id_prefix Optional character prefix IMPID values. Default empty string.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/create_impid.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create IMPID Column for Imputed Datasets — create_impid","text":"single data.frame imputed datasets stacked, IMPID column identifying source imputation.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/create_impid.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create IMPID Column for Imputed Datasets — create_impid","text":"function useful imputed datasets source rbmi (e.g., mice another MI package) want use rbmiUtils analysis functions.","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/create_impid.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create IMPID Column for Imputed Datasets — create_impid","text":"","code":"# Create example imputed datasets imp1 <- data.frame(USUBJID = c(\"S1\", \"S2\"), CHG = c(1.5, 2.5)) imp2 <- data.frame(USUBJID = c(\"S1\", \"S2\"), CHG = c(1.8, 2.2)) imp3 <- data.frame(USUBJID = c(\"S1\", \"S2\"), CHG = c(1.6, 2.4)) # Stack with IMPID stacked <- create_impid(list(imp1, imp2, imp3)) print(stacked) #> IMPID USUBJID CHG #> 1 1 S1 1.5 #> 2 1 S2 2.5 #> 3 2 S1 1.8 #> 4 2 S2 2.2 #> 5 3 S1 1.6 #> 6 3 S2 2.4"},{"path":"https://openpharma.github.io/rbmiUtils/reference/describe_draws.html","id":null,"dir":"Reference","previous_headings":"","what":"Describe an rbmi Draws Object — describe_draws","title":"Describe an rbmi Draws Object — describe_draws","text":"Extracts structured metadata rbmi draws object, including method, formula, sample count, failures, covariance structure, (Bayesian methods) MCMC convergence diagnostics. Returns S3 object informative print() method.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/describe_draws.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Describe an rbmi Draws Object — describe_draws","text":"","code":"describe_draws(draws_obj)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/describe_draws.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Describe an rbmi Draws Object — describe_draws","text":"draws_obj draws object returned rbmi::draws().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/describe_draws.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Describe an rbmi Draws Object — describe_draws","text":"S3 object class c(\"describe_draws\", \"list\") containing: method Human-readable method name (e.g., \"Bayesian (MCMC via Stan)\") method_class Raw class name: \"bayes\", \"approxbayes\", \"condmean\" n_samples Total number samples n_failures Number failed samples formula Deparsed model formula string covariance Covariance structure (e.g., \"us\") same_cov Logical; whether covariance used across groups condmean_type (condmean ) \"jackknife\" \"bootstrap\" n_primary (condmean ) Always 1 n_resampled (condmean ) Number resampled draws bayes_control (bayes ) List warmup, thin, chains, seed mcmc (bayes stanfit ) List rhat, ess, max_rhat, min_ess, n_params, converged","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/describe_draws.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Describe an rbmi Draws Object — describe_draws","text":"conditional mean methods, sample count displayed \"1 + N\" matching rbmi convention first sample primary (full-data) fit remaining N jackknife bootstrap resamples. Bayesian methods, MCMC convergence diagnostics (ESS, Rhat) extracted stanfit object rstan available. converged flag uses Rhat < 1.1 threshold matching rbmi's convention.","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/describe_draws.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Describe an rbmi Draws Object — describe_draws","text":"","code":"if (FALSE) { # \\dontrun{ library(rbmi) library(dplyr) data(\"ADEFF\", package = \"rbmiUtils\") # Prepare ADEFF data for rbmi pipeline ADEFF <- ADEFF |> mutate( TRT = factor(TRT01P, levels = c(\"Placebo\", \"Drug A\")), USUBJID = factor(USUBJID), AVISIT = factor(AVISIT, levels = c(\"Week 24\", \"Week 48\")) ) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) dat <- ADEFF |> select(USUBJID, STRATA, REGION, TRT, BASE, CHG, AVISIT) draws_obj <- draws( data = dat, vars = vars, method = method_bayes(n_samples = 100) ) # Inspect the draws object desc <- describe_draws(draws_obj) print(desc) # Programmatic access to metadata desc$method desc$n_samples desc$formula } # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/describe_imputation.html","id":null,"dir":"Reference","previous_headings":"","what":"Describe an rbmi Imputation Object — describe_imputation","title":"Describe an rbmi Imputation Object — describe_imputation","text":"Extracts structured metadata rbmi imputation object, including method, number imputations (M), reference arm mappings, subject count, missingness breakdown visit treatment arm. Returns S3 object informative print() method.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/describe_imputation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Describe an rbmi Imputation Object — describe_imputation","text":"","code":"describe_imputation(impute_obj)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/describe_imputation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Describe an rbmi Imputation Object — describe_imputation","text":"impute_obj imputation object returned rbmi::impute().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/describe_imputation.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Describe an rbmi Imputation Object — describe_imputation","text":"S3 object class c(\"describe_imputation\", \"list\") containing: method Human-readable method name (e.g., \"Bayesian (MCMC via Stan)\") method_class Raw class name: \"bayes\", \"approxbayes\", \"condmean\" n_imputations Number imputations (M) references Named character vector reference arm mappings, NULL n_subjects Total number unique subjects visits Character vector visit names missingness data.frame columns: visit, group, n_total, n_miss, pct_miss","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/describe_imputation.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Describe an rbmi Imputation Object — describe_imputation","text":"missingness table built cross-tabulating impute_obj$data$is_missing visit treatment group. row shows total number subjects group, many missing data visit, percentage missing.","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/describe_imputation.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Describe an rbmi Imputation Object — describe_imputation","text":"","code":"if (FALSE) { # \\dontrun{ library(rbmi) library(dplyr) data(\"ADEFF\", package = \"rbmiUtils\") ADEFF <- ADEFF |> mutate( TRT = factor(TRT01P, levels = c(\"Placebo\", \"Drug A\")), USUBJID = factor(USUBJID), AVISIT = factor(AVISIT, levels = c(\"Week 24\", \"Week 48\")) ) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) dat <- ADEFF |> select(USUBJID, STRATA, REGION, TRT, BASE, CHG, AVISIT) draws_obj <- draws( data = dat, vars = vars, method = method_bayes(n_samples = 100) ) impute_obj <- impute( draws_obj, references = c(\"Placebo\" = \"Placebo\", \"Drug A\" = \"Placebo\") ) # Inspect the imputation desc <- describe_imputation(impute_obj) print(desc) # Programmatic access desc$n_imputations desc$missingness desc$references } # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/efficacy_table.html","id":null,"dir":"Reference","previous_headings":"","what":"Create Regulatory-Style Efficacy Summary Table — efficacy_table","title":"Create Regulatory-Style Efficacy Summary Table — efficacy_table","text":"Takes rbmi pool object produces publication-ready gt table style CDISC/ICH Table 14.2.x. table displays least squares means treatment arm, treatment differences, confidence intervals, p-values, organized visit row groups.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/efficacy_table.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create Regulatory-Style Efficacy Summary Table — efficacy_table","text":"","code":"efficacy_table( pool_obj, title = NULL, subtitle = NULL, digits = 2, ci_level = NULL, arm_labels = NULL, pval_digits = 3, pval_threshold = 0.001, font_family = NULL, font_size = NULL, row_padding = NULL, ... )"},{"path":"https://openpharma.github.io/rbmiUtils/reference/efficacy_table.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create Regulatory-Style Efficacy Summary Table — efficacy_table","text":"pool_obj pooled analysis object class \"pool\", typically obtained rbmi::pool() calling analyse_mi_data(). title Optional character string table title. subtitle Optional character string table subtitle. digits Integer. Number decimal places estimates standard errors. Default 2. ci_level Numeric. Confidence level CI column labeling. NULL (default), extracted pool_obj$conf.level. Falls back 0.95 neither available. arm_labels Named character vector elements \"ref\" \"alt\" providing custom labels reference treatment arms. NULL (default), uses \"Reference\" \"Treatment\". pval_digits Integer. Number decimal places p-values. Default 3. pval_threshold Numeric. P-values threshold displayed \"< threshold\". Default 0.001. font_family Optional character string specifying font family table. NULL (default), uses gt's default font. Applied via gt::opt_table_font(). font_size Optional numeric value specifying table font size pixels. NULL (default), uses gt's default size. Applied via gt::tab_options(). row_padding Optional numeric value specifying vertical padding data rows pixels. NULL (default), uses gt's default padding. Smaller values (e.g., 2-3) create compact regulatory-style tables. ... Additional arguments passed gt::gt().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/efficacy_table.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create Regulatory-Style Efficacy Summary Table — efficacy_table","text":"gt table object class gt_tbl.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/efficacy_table.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create Regulatory-Style Efficacy Summary Table — efficacy_table","text":"function assumes single-parameter-per-visit pool object (standard output rbmi ANCOVA MMRM pipeline). internally calls tidy_pool_obj() parse pool object, constructs gt table. Arm labels: Use arm_labels parameter customize arm names table. example, arm_labels = c(ref = \"Placebo\", alt = \"Drug \") display \"LS Mean (Placebo)\" \"LS Mean (Drug )\" instead defaults. Customization: returned gt object can customized using standard gt piping, e.g., efficacy_table(pool_obj) |> gt::tab_options(...). Example output:","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/efficacy_table.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create Regulatory-Style Efficacy Summary Table — efficacy_table","text":"","code":"# \\donttest{ if (requireNamespace(\"gt\", quietly = TRUE)) { library(rbmi) data(\"ADMI\", package = \"rbmiUtils\") ADMI$TRT <- factor(ADMI$TRT, levels = c(\"Placebo\", \"Drug A\")) ADMI$USUBJID <- factor(ADMI$USUBJID) ADMI$AVISIT <- factor(ADMI$AVISIT) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) method <- method_bayes( n_samples = 20, control = control_bayes(warmup = 20, thin = 1) ) ana_obj <- analyse_mi_data(ADMI, vars, method, fun = ancova) pool_obj <- pool(ana_obj) # Basic table tbl <- efficacy_table(pool_obj) # Publication-styled table efficacy_table( pool_obj, title = \"Table 14.2.1: ANCOVA of Change from Baseline\", subtitle = \"Mixed Model for Repeated Measures\", arm_labels = c(ref = \"Placebo\", alt = \"Drug A\"), font_size = 12, row_padding = 4 ) } #> Warning: Data contains 100 imputations but method expects 20. Using first 20 #> imputations. Table 14.2.1: ANCOVA of Change from Baseline Mixed Model for Repeated Measures Estimate Std. Error 95% CI P-value Week 24 LS Mean (Placebo) 0.09 0.13 (-0.17, 0.34) 0.514LS Mean (Drug A) −2.10 0.13 (-2.34, -1.85) < 0.001Treatment Difference −2.18 0.18 (-2.54, -1.82) < 0.001Week 48 LS Mean (Placebo) 0.04 0.19 (-0.33, 0.40) 0.846LS Mean (Drug A) −3.76 0.18 (-4.11, -3.41) < 0.001Treatment Difference −3.79 0.26 (-4.30, -3.29) < 0.001Pooling method: rubin Number of imputations: 20 Confidence level: 95% # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/expand_imputed_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Expand Reduced Imputed Data to Full Dataset — expand_imputed_data","title":"Expand Reduced Imputed Data to Full Dataset — expand_imputed_data","text":"Reconstructs full imputed dataset reduced form merging imputed values back original observed data. inverse operation reduce_imputed_data().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/expand_imputed_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Expand Reduced Imputed Data to Full Dataset — expand_imputed_data","text":"","code":"expand_imputed_data(reduced_data, original_data, vars)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/expand_imputed_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Expand Reduced Imputed Data to Full Dataset — expand_imputed_data","text":"reduced_data data.frame containing imputed values, returned reduce_imputed_data(). original_data data.frame containing original dataset imputation, missing values outcome column. vars vars object created rbmi::set_vars().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/expand_imputed_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Expand Reduced Imputed Data to Full Dataset — expand_imputed_data","text":"data.frame containing full imputed dataset one complete dataset per IMPID value. structure matches output get_imputed_data().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/expand_imputed_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Expand Reduced Imputed Data to Full Dataset — expand_imputed_data","text":"imputation (identified IMPID), function: Starts original data (observed values) Replaces missing outcome values corresponding imputed values Stacks imputations together","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/expand_imputed_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Expand Reduced Imputed Data to Full Dataset — expand_imputed_data","text":"","code":"library(rbmi) library(dplyr) # Example with package data data(\"ADMI\", package = \"rbmiUtils\") data(\"ADEFF\", package = \"rbmiUtils\") # Prepare original data to match ADMI structure original <- ADEFF |> mutate( TRT = TRT01P, USUBJID = as.character(USUBJID) ) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\" ) # Reduce and then expand reduced <- reduce_imputed_data(ADMI, original, vars) expanded <- expand_imputed_data(reduced, original, vars) # Verify expansion cat(\"Original ADMI rows:\", nrow(ADMI), \"\\n\") #> Original ADMI rows: 100000 cat(\"Expanded rows:\", nrow(expanded), \"\\n\") #> Expanded rows: 100000"},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_covariates2.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract variable names from model terms — extract_covariates2","title":"Extract variable names from model terms — extract_covariates2","text":"Takes character vector including potentially model terms like * : extracts individual variables. function deprecated removed future version.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_covariates2.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract variable names from model terms — extract_covariates2","text":"","code":"extract_covariates2(x)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_covariates2.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract variable names from model terms — extract_covariates2","text":"x character vector model terms.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_covariates2.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract variable names from model terms — extract_covariates2","text":"character vector unique variable names.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_lsm.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract Least Squares Means — extract_lsm","title":"Extract Least Squares Means — extract_lsm","text":"Convenience function extract least squares mean estimates tidy results.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_lsm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract Least Squares Means — extract_lsm","text":"","code":"extract_lsm(results, visit = NULL, arm = NULL)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_lsm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract Least Squares Means — extract_lsm","text":"results tibble tidy_pool_obj(). visit Optional character vector visits filter. NULL (default), returns results visits. arm Optional character: \"ref\" reference arm, \"alt\" alternative arm, NULL (default) .","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_lsm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract Least Squares Means — extract_lsm","text":"tibble containing LSM rows.","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_lsm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extract Least Squares Means — extract_lsm","text":"","code":"# \\donttest{ library(rbmi) # Assuming you have a tidy result # tidy_result <- tidy_pool_obj(pool_obj) # all_lsm <- extract_lsm(tidy_result) # ref_lsm <- extract_lsm(tidy_result, arm = \"ref\") # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_trt_effects.html","id":null,"dir":"Reference","previous_headings":"","what":"Extract Treatment Effect Estimates — extract_trt_effects","title":"Extract Treatment Effect Estimates — extract_trt_effects","text":"Convenience function extract treatment comparison estimates tidy results, filtering least squares means.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_trt_effects.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Extract Treatment Effect Estimates — extract_trt_effects","text":"","code":"extract_trt_effects(results, visit = NULL)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_trt_effects.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Extract Treatment Effect Estimates — extract_trt_effects","text":"results tibble tidy_pool_obj(). visit Optional character vector visits filter. NULL (default), returns results visits.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_trt_effects.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Extract Treatment Effect Estimates — extract_trt_effects","text":"tibble containing treatment effect rows.","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/extract_trt_effects.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Extract Treatment Effect Estimates — extract_trt_effects","text":"","code":"# \\donttest{ library(rbmi) # Assuming you have a tidy result # tidy_result <- tidy_pool_obj(pool_obj) # trt_effects <- extract_trt_effects(tidy_result) # trt_week24 <- extract_trt_effects(tidy_result, visit = \"Week 24\") # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_estimate.html","id":null,"dir":"Reference","previous_headings":"","what":"Format Estimate with Confidence Interval — format_estimate","title":"Format Estimate with Confidence Interval — format_estimate","text":"Formats point estimate confidence interval standard publication format: \"estimate (lower, upper)\".","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_estimate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Format Estimate with Confidence Interval — format_estimate","text":"","code":"format_estimate(estimate, lower, upper, digits = 2, sep = \", \")"},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_estimate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Format Estimate with Confidence Interval — format_estimate","text":"estimate Numeric vector point estimates. lower Numeric vector lower confidence interval bounds. upper Numeric vector upper confidence interval bounds. digits Integer. Number decimal places rounding. Default 2. sep Character. Separator lower upper bounds. Default \", \".","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_estimate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Format Estimate with Confidence Interval — format_estimate","text":"character vector formatted estimates confidence intervals.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_estimate.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Format Estimate with Confidence Interval — format_estimate","text":"function formats estimates \"X.XX (X.XX, X.XX)\" default. three input vectors must length. NA values position result NA_character_ element.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_estimate.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Format Estimate with Confidence Interval — format_estimate","text":"","code":"# Single estimate format_estimate(1.5, 0.8, 2.2) #> [1] \"1.50 (0.80, 2.20)\" #> \"1.50 (0.80, 2.20)\" # Multiple estimates format_estimate( estimate = c(-2.5, -1.8), lower = c(-4.0, -3.2), upper = c(-1.0, -0.4) ) #> [1] \"-2.50 (-4.00, -1.00)\" \"-1.80 (-3.20, -0.40)\" #> \"-2.50 (-4.00, -1.00)\" \"-1.80 (-3.20, -0.40)\" # More decimal places format_estimate(0.234, 0.123, 0.345, digits = 3) #> [1] \"0.234 (0.123, 0.345)\" #> \"0.234 (0.123, 0.345)\" # Different separator format_estimate(1.5, 0.8, 2.2, sep = \" to \") #> [1] \"1.50 (0.80 to 2.20)\" #> \"1.50 (0.80 to 2.20)\""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_pvalue.html","id":null,"dir":"Reference","previous_headings":"","what":"Format P-values for Publication — format_pvalue","title":"Format P-values for Publication — format_pvalue","text":"Formats p-values according common publication standards, configurable thresholds decimal places.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_pvalue.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Format P-values for Publication — format_pvalue","text":"","code":"format_pvalue(x, digits = 3, threshold = 0.001, html = FALSE)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_pvalue.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Format P-values for Publication — format_pvalue","text":"x numeric vector p-values. digits Integer. Number decimal places rounding. Default 3. threshold Numeric. P-values threshold displayed \"< threshold\". Default 0.001. html Logical. TRUE, uses HTML formatting less-symbol. Default FALSE.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_pvalue.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Format P-values for Publication — format_pvalue","text":"character vector formatted p-values.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_pvalue.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Format P-values for Publication — format_pvalue","text":"function applies following rules: P-values threshold formatted \"< 0.001\" (HTML equivalent) P-values >= threshold rounded digits decimal places NA values preserved NA_character_ Values > 1 < 0 return NA_character_ warning","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_pvalue.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Format P-values for Publication — format_pvalue","text":"","code":"# Basic usage format_pvalue(0.0234) #> [1] \"0.023\" #> \"0.023\" format_pvalue(0.00005) #> [1] \"< 0.001\" #> \"< 0.001\" # Vector input pvals <- c(0.5, 0.05, 0.001, 0.0001, NA) format_pvalue(pvals) #> [1] \"0.500\" \"0.050\" \"0.001\" \"< 0.001\" NA #> \"0.500\" \"0.050\" \"0.001\" \"< 0.001\" NA # Custom threshold format_pvalue(0.005, threshold = 0.01) #> [1] \"< 0.01\" #> \"< 0.01\" # HTML output format_pvalue(0.0001, html = TRUE) #> [1] \"< 0.001\" #> \"< 0.001\""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_results.html","id":null,"dir":"Reference","previous_headings":"","what":"Format Results for Reporting — format_results","title":"Format Results for Reporting — format_results","text":"Formats tidy results tibble publication-ready reporting, options rounding, confidence interval formatting, column selection.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_results.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Format Results for Reporting — format_results","text":"","code":"format_results( results, digits = 2, ci_format = c(\"parens\", \"brackets\", \"dash\"), pval_digits = 3, include_se = FALSE )"},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_results.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Format Results for Reporting — format_results","text":"results tibble tidy_pool_obj() combine_results(). digits Integer specifying number decimal places estimates. Default 2. ci_format Character string specifying CI format. Options : \"parens\" \"(LCI, UCI)\", \"brackets\" \"\\[LCI, UCI\\]\", \"dash\" \"LCI - UCI\". Default \"parens\". pval_digits Integer specifying decimal places p-values. Default 3. include_se Logical indicating whether include standard error column. Default FALSE.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_results.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Format Results for Reporting — format_results","text":"tibble formatted columns suitable reporting.","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_results.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Format Results for Reporting — format_results","text":"","code":"# \\donttest{ library(rbmi) # Assuming you have a tidy result # tidy_result <- tidy_pool_obj(pool_obj) # formatted <- format_results(tidy_result, digits = 3, ci_format = \"brackets\") # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_results_table.html","id":null,"dir":"Reference","previous_headings":"","what":"Format Results Table for Publication — format_results_table","title":"Format Results Table for Publication — format_results_table","text":"Adds formatted columns tidy results table, creating publication-ready output properly formatted estimates, confidence intervals, p-values.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_results_table.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Format Results Table for Publication — format_results_table","text":"","code":"format_results_table( data, est_col = \"est\", lci_col = \"lci\", uci_col = \"uci\", pval_col = \"pval\", est_digits = 2, pval_digits = 3, pval_threshold = 0.001, ci_sep = \", \" )"},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_results_table.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Format Results Table for Publication — format_results_table","text":"data data.frame tibble, typically output tidy_pool_obj(). est_col Character. Name estimate column. Default \"est\". lci_col Character. Name lower CI column. Default \"lci\". uci_col Character. Name upper CI column. Default \"uci\". pval_col Character. Name p-value column. Default \"pval\". est_digits Integer. Decimal places estimates. Default 2. pval_digits Integer. Decimal places p-values. Default 3. pval_threshold Numeric. Threshold p-value formatting. Default 0.001. ci_sep Character. Separator CI bounds. Default \", \".","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_results_table.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Format Results Table for Publication — format_results_table","text":"tibble additional formatted columns: est_ci Formatted estimate confidence interval pval_fmt Formatted p-value","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_results_table.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Format Results Table for Publication — format_results_table","text":"function designed work output tidy_pool_obj() can used data.frame containing estimate, CI, p-value columns. original columns preserved; new formatted columns added.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/format_results_table.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Format Results Table for Publication — format_results_table","text":"","code":"library(dplyr) # Create example results results <- tibble::tibble( parameter = c(\"trt_Week24\", \"lsm_ref_Week24\", \"lsm_alt_Week24\"), description = c(\"Treatment Effect\", \"LS Mean (Reference)\", \"LS Mean (Treatment)\"), est = c(-2.45, 5.20, 2.75), se = c(0.89, 0.65, 0.71), lci = c(-4.20, 3.93, 1.36), uci = c(-0.70, 6.47, 4.14), pval = c(0.006, NA, NA) ) # Format for publication formatted <- format_results_table(results) print(formatted[, c(\"description\", \"est_ci\", \"pval_fmt\")]) #> # A tibble: 3 × 3 #> description est_ci pval_fmt #> #> 1 Treatment Effect -2.45 (-4.20, -0.70) 0.006 #> 2 LS Mean (Reference) 5.20 (3.93, 6.47) NA #> 3 LS Mean (Treatment) 2.75 (1.36, 4.14) NA"},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_binary.html","id":null,"dir":"Reference","previous_headings":"","what":"Utility function for Generalized G-computation for Binary Outcomes — gcomp_binary","title":"Utility function for Generalized G-computation for Binary Outcomes — gcomp_binary","text":"Wrapper function targeting marginal treatment effect using g-computation using beeca package. Intended binary endpoints.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_binary.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Utility function for Generalized G-computation for Binary Outcomes — gcomp_binary","text":"","code":"gcomp_binary( data, outcome = \"CRIT1FLN\", treatment = \"TRT\", covariates = c(\"BASE\", \"STRATA\", \"REGION\"), reference = \"Placebo\", contrast = \"diff\", method = \"Ge\", type = \"HC0\", ... )"},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_binary.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Utility function for Generalized G-computation for Binary Outcomes — gcomp_binary","text":"data data.frame containing analysis dataset. outcome Name binary outcome variable (string). treatment Name treatment variable (string). covariates Character vector covariate names adjust . reference Reference level treatment variable (default: \"Placebo\"). contrast Type contrast compute (default: \"diff\"). method Marginal estimation method variance (default: \"Ge\"). type Variance estimator type (default: \"HC0\"). ... Additional arguments passed beeca::get_marginal_effect().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_binary.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Utility function for Generalized G-computation for Binary Outcomes — gcomp_binary","text":"named list treatment effect estimate, standard error, degrees freedom (applicable).","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_binary.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Utility function for Generalized G-computation for Binary Outcomes — gcomp_binary","text":"","code":"# Load required packages library(rbmiUtils) library(beeca) # for get_marginal_effect() #> #> Attaching package: ‘beeca’ #> The following objects are masked from ‘package:rbmiUtils’: #> #> format_pvalue, plot_forest library(dplyr) # Load example data data(\"ADMI\") # Ensure correct factor levels ADMI <- ADMI |> mutate( TRT = factor(TRT, levels = c(\"Placebo\", \"Drug A\")), STRATA = factor(STRATA), REGION = factor(REGION) ) # Apply g-computation for binary responder result <- gcomp_binary( data = ADMI, outcome = \"CRIT1FLN\", treatment = \"TRT\", covariates = c(\"BASE\", \"STRATA\", \"REGION\"), reference = \"Placebo\", contrast = \"diff\", method = \"Ge\", # from beeca: GEE robust sandwich estimator type = \"HC0\" # from beeca: heteroskedasticity-consistent SE ) # Print results print(result) #> $trt #> $trt$est #> [1] -0.0632916 #> #> $trt$se #> [1] 0.001189759 #> #> $trt$df #> [1] NA #> #>"},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_responder.html","id":null,"dir":"Reference","previous_headings":"","what":"G-computation Analysis for a Single Visit — gcomp_responder","title":"G-computation Analysis for a Single Visit — gcomp_responder","text":"Performs logistic regression estimates marginal effects binary outcomes.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_responder.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"G-computation Analysis for a Single Visit — gcomp_responder","text":"","code":"gcomp_responder( data, vars, reference_levels = NULL, var_method = \"Ge\", type = \"HC0\", contrast = \"diff\" )"},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_responder.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"G-computation Analysis for a Single Visit — gcomp_responder","text":"data data.frame one visit data. vars list containing group, outcome, covariates, visit. reference_levels Optional vector specifying reference level(s) treatment factor. var_method Marginal variance estimation method (default: \"Ge\"). type Type robust variance estimator (default: \"HC0\"). contrast Type contrast compute (default: \"diff\").","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_responder.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"G-computation Analysis for a Single Visit — gcomp_responder","text":"named list containing estimates standard errors treatment comparisons within-arm means.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_responder.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"G-computation Analysis for a Single Visit — gcomp_responder","text":"","code":"# \\donttest{ library(dplyr) library(rbmi) library(rbmiUtils) data(\"ADMI\") # Prepare data for a single visit ADMI <- ADMI |> mutate( TRT = factor(TRT, levels = c(\"Placebo\", \"Drug A\")), STRATA = factor(STRATA), REGION = factor(REGION) ) dat_single <- ADMI |> filter(AVISIT == \"Week 24\") vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CRIT1FLN\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) result <- gcomp_responder( data = dat_single, vars = vars, reference_levels = \"Placebo\" ) #> Warning: `extract_covariates2()` was deprecated in rbmiUtils 0.2.0. #> ℹ Internal helper will be removed in a future version. #> ℹ The deprecated feature was likely used in the rbmiUtils package. #> Please report the issue at . #> Warning: `as_simple_formula2()` was deprecated in rbmiUtils 0.2.0. #> ℹ Internal helper will be removed in a future version. #> ℹ The deprecated feature was likely used in the rbmiUtils package. #> Please report the issue at . print(result) #> $`trt_Drug A-Placebo` #> $`trt_Drug A-Placebo`$est #> [1] -0.03081266 #> #> $`trt_Drug A-Placebo`$se #> [1] 0.001122321 #> #> $`trt_Drug A-Placebo`$df #> [1] NA #> #> #> $`lsm_Drug A` #> $`lsm_Drug A`$est #> [1] 7.701861e-05 #> #> $`lsm_Drug A`$se #> [1] 5.448088e-05 #> #> $`lsm_Drug A`$df #> [1] NA #> #> #> $lsm_Placebo #> $lsm_Placebo$est #> [1] 0.03088968 #> #> $lsm_Placebo$se #> [1] 0.001120489 #> #> $lsm_Placebo$df #> [1] NA #> #> # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_responder_multi.html","id":null,"dir":"Reference","previous_headings":"","what":"G-computation for a Binary Outcome at Multiple Visits — gcomp_responder_multi","title":"G-computation for a Binary Outcome at Multiple Visits — gcomp_responder_multi","text":"Applies gcomp_responder() separately unique visit data.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_responder_multi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"G-computation for a Binary Outcome at Multiple Visits — gcomp_responder_multi","text":"","code":"gcomp_responder_multi(data, vars, reference_levels = NULL, ...)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_responder_multi.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"G-computation for a Binary Outcome at Multiple Visits — gcomp_responder_multi","text":"data data.frame containing multiple visits. vars list specifying analysis variables. reference_levels Optional reference level treatment variable. ... Additional arguments passed gcomp_responder().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_responder_multi.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"G-computation for a Binary Outcome at Multiple Visits — gcomp_responder_multi","text":"named list estimates visit treatment group.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/gcomp_responder_multi.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"G-computation for a Binary Outcome at Multiple Visits — gcomp_responder_multi","text":"","code":"# \\donttest{ library(dplyr) library(rbmi) library(rbmiUtils) data(\"ADMI\") ADMI <- ADMI |> mutate( TRT = factor(TRT, levels = c(\"Placebo\", \"Drug A\")), STRATA = factor(STRATA), REGION = factor(REGION) ) # Note: method must match the original used for imputation method <- method_bayes( n_samples = 100, control = control_bayes(warmup = 20, thin = 2) ) vars_binary <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CRIT1FLN\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) ana_obj_prop <- analyse_mi_data( data = ADMI, vars = vars_binary, method = method, fun = gcomp_responder_multi, reference_levels = \"Placebo\", contrast = \"diff\", var_method = \"Ge\", type = \"HC0\" ) pool(ana_obj_prop) #> #> Pool Object #> ----------- #> Number of Results Combined: 100 #> Method: rubin #> Confidence Level: 0.95 #> Alternative: two.sided #> #> Results: #> #> =================================================================== #> parameter est se lci uci pval #> ------------------------------------------------------------------- #> trt_Drug A-Placebo_Week 24 -0.031 0.012 -0.053 -0.008 0.007 #> lsm_Drug A_Week 24 0 0.001 -0.001 0.002 0.921 #> lsm_Placebo_Week 24 0.031 0.011 0.008 0.053 0.007 #> trt_Drug A-Placebo_Week 48 -0.096 0.021 -0.137 -0.054 <0.001 #> lsm_Drug A_Week 48 0.007 0.005 -0.003 0.017 0.15 #> lsm_Placebo_Week 48 0.103 0.021 0.063 0.143 <0.001 #> ------------------------------------------------------------------- #> # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/get_imputed_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Get Imputed Data Sets as a data frame — get_imputed_data","title":"Get Imputed Data Sets as a data frame — get_imputed_data","text":"function takes imputed dataset mapping variable return dataset original IDs mapped back renamed appropriately.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/get_imputed_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get Imputed Data Sets as a data frame — get_imputed_data","text":"","code":"get_imputed_data(impute_obj)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/get_imputed_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get Imputed Data Sets as a data frame — get_imputed_data","text":"impute_obj imputation object imputed datasets extracted.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/get_imputed_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get Imputed Data Sets as a data frame — get_imputed_data","text":"data frame original subject IDs mapped renamed.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/get_imputed_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get Imputed Data Sets as a data frame — get_imputed_data","text":"","code":"# \\donttest{ library(dplyr) library(rbmi) library(rbmiUtils) set.seed(1974) # Load example dataset data(\"ADEFF\") # Prepare data ADEFF <- ADEFF |> mutate( TRT = factor(TRT01P, levels = c(\"Placebo\", \"Drug A\")), USUBJID = factor(USUBJID), AVISIT = factor(AVISIT) ) # Define variables for imputation vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) # Define Bayesian imputation method method <- method_bayes( n_samples = 100, control = control_bayes(warmup = 200, thin = 2) ) # Generate draws and perform imputation draws_obj <- draws(data = ADEFF, vars = vars, method = method) #> #> SAMPLING FOR MODEL 'rbmi_MMRM_us_default' NOW (CHAIN 1). #> Chain 1: #> Chain 1: Gradient evaluation took 0.000239 seconds #> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.39 seconds. #> Chain 1: Adjust your expectations accordingly! #> Chain 1: #> Chain 1: #> Chain 1: Iteration: 1 / 400 [ 0%] (Warmup) #> Chain 1: Iteration: 40 / 400 [ 10%] (Warmup) #> Chain 1: Iteration: 80 / 400 [ 20%] (Warmup) #> Chain 1: Iteration: 120 / 400 [ 30%] (Warmup) #> Chain 1: Iteration: 160 / 400 [ 40%] (Warmup) #> Chain 1: Iteration: 200 / 400 [ 50%] (Warmup) #> Chain 1: Iteration: 201 / 400 [ 50%] (Sampling) #> Chain 1: Iteration: 240 / 400 [ 60%] (Sampling) #> Chain 1: Iteration: 280 / 400 [ 70%] (Sampling) #> Chain 1: Iteration: 320 / 400 [ 80%] (Sampling) #> Chain 1: Iteration: 360 / 400 [ 90%] (Sampling) #> Chain 1: Iteration: 400 / 400 [100%] (Sampling) #> Chain 1: #> Chain 1: Elapsed Time: 0.304 seconds (Warm-up) #> Chain 1: 0.241 seconds (Sampling) #> Chain 1: 0.545 seconds (Total) #> Chain 1: #> Warning: The Effective Sample Size is below 40% for 1 parameters. Please consider increasing burn-in and/or burn-between, or the number of samples impute_obj <- impute(draws_obj, references = c(\"Placebo\" = \"Placebo\", \"Drug A\" = \"Placebo\")) # Extract imputed data with original subject IDs admi <- get_imputed_data(impute_obj) head(admi) #> IMPID internal_id STRATA REGION REGIONC TRT01P BASE AVISIT AVAL #> 1 1 new_pt_1 A North America 1 Drug A 16 Week 24 12 #> 2 1 new_pt_1 A North America 1 Drug A 16 Week 48 13 #> 3 1 new_pt_2 A Asia 4 Drug A 10 Week 24 7 #> 4 1 new_pt_2 A Asia 4 Drug A 10 Week 48 5 #> 5 1 new_pt_3 A South America 2 Drug A 12 Week 24 9 #> 6 1 new_pt_3 A South America 2 Drug A 12 Week 48 10 #> PARAM CHG TRT USUBJID #> 1 ESSDAI score -4 Drug A ID001 #> 2 ESSDAI score -3 Drug A ID001 #> 3 ESSDAI score -3 Drug A ID002 #> 4 ESSDAI score -5 Drug A ID002 #> 5 ESSDAI score -3 Drug A ID003 #> 6 ESSDAI score -2 Drug A ID003 # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/plot_forest.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a Forest Plot from an rbmi Pool Object — plot_forest","title":"Create a Forest Plot from an rbmi Pool Object — plot_forest","text":"Takes rbmi pool object produces publication-quality, three-panel forest plot using ggplot2 patchwork. plot displays treatment effect point estimates confidence interval whiskers, aligned table panel showing formatted estimates, p-value panel.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/plot_forest.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a Forest Plot from an rbmi Pool Object — plot_forest","text":"","code":"plot_forest( pool_obj, display = c(\"trt\", \"lsm\"), ref_value = NULL, ci_level = NULL, arm_labels = NULL, title = NULL, text_size = 3, point_size = 3, show_pvalues = TRUE, font_family = NULL, panel_widths = NULL )"},{"path":"https://openpharma.github.io/rbmiUtils/reference/plot_forest.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a Forest Plot from an rbmi Pool Object — plot_forest","text":"pool_obj pooled analysis object class \"pool\", typically obtained rbmi::pool() calling analyse_mi_data(). display Character string specifying display mode. \"trt\" (default) shows treatment differences across visits. \"lsm\" shows LS mean estimates treatment arm color-coded points. ref_value Numeric. reference value vertical reference line. Default 0 display = \"trt\" NULL (line) display = \"lsm\". Set explicitly override. ci_level Numeric. Confidence level CI labeling. NULL (default), extracted pool_obj$conf.level. Falls back 0.95 neither available. arm_labels Named character vector elements \"ref\" \"alt\" providing custom labels reference treatment arms display = \"lsm\". NULL (default), uses \"Reference\" \"Treatment\". title Optional character string plot title. text_size Numeric. Text size table p-value panels. Default 3. point_size Numeric. Point size forest plot. Default 3. show_pvalues Logical. Whether display p-value panel right side plot. Default TRUE. Set FALSE cleaner two-panel layout without p-values. font_family Optional character string specifying font family text plot. NULL (default), uses ggplot2's default font (typically sans-serif). Applied geom_text layers forest panel theme. panel_widths Optional numeric vector controlling relative widths plot panels. show_pvalues = TRUE, must length 3 (table, forest, p-value panels). show_pvalues = FALSE, must length 2 (table, forest panels). NULL (default), uses c(3, 4, 1.5) 3-panel c(3, 5) 2-panel layouts.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/plot_forest.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a Forest Plot from an rbmi Pool Object — plot_forest","text":"patchwork/ggplot object can customized using & theme() modify panels simultaneously.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/plot_forest.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create a Forest Plot from an rbmi Pool Object — plot_forest","text":"function calls tidy_pool_obj() internally parse pool object, constructs three-panel composition: Left panel: Visit labels formatted estimate CI text Middle panel: Forest plot point estimates CI whiskers Right panel: Formatted p-values Display modes: \"trt\" – Treatment differences reference line zero (custom ref_value). Significant results (CI excludes reference) shown filled circles; non-significant open circles. \"lsm\" – LS mean estimates treatment arm, color-coded using Okabe-Ito colorblind-friendly palette (blue reference, vermilion treatment). Points dodged vertically within visit. Customization: returned patchwork object supports & theme() applying theme changes panels. example: plot_forest(pool_obj) & theme(text = element_text(size = 14)). Example output (treatment difference mode):","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/plot_forest.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a Forest Plot from an rbmi Pool Object — plot_forest","text":"","code":"# \\donttest{ if (requireNamespace(\"ggplot2\", quietly = TRUE) && requireNamespace(\"patchwork\", quietly = TRUE)) { library(rbmi) data(\"ADMI\", package = \"rbmiUtils\") ADMI$TRT <- factor(ADMI$TRT, levels = c(\"Placebo\", \"Drug A\")) ADMI$USUBJID <- factor(ADMI$USUBJID) ADMI$AVISIT <- factor(ADMI$AVISIT) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) method <- method_bayes( n_samples = 20, control = control_bayes(warmup = 20, thin = 1) ) ana_obj <- analyse_mi_data(ADMI, vars, method, fun = ancova) pool_obj <- pool(ana_obj) # Treatment difference forest plot plot_forest(pool_obj, arm_labels = c(ref = \"Placebo\", alt = \"Drug A\")) # LSM display with custom panel widths plot_forest( pool_obj, display = \"lsm\", arm_labels = c(ref = \"Placebo\", alt = \"Drug A\"), title = \"LS Mean Estimates by Visit\", panel_widths = c(3, 5) ) } #> Warning: Data contains 100 imputations but method expects 20. Using first 20 #> imputations. #> Error in UseMethod(\"tidy\"): no applicable method for 'tidy' applied to an object of class \"pool\" # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/pool_to_ard.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert Pool Object to ARD Format — pool_to_ard","title":"Convert Pool Object to ARD Format — pool_to_ard","text":"Converts rbmi pool object pharmaverse Analysis Results Dataset (ARD) standard using cards package. ARD format long-format data frame row represents single statistic given parameter, grouping columns visit, parameter type, least-squares-mean type.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/pool_to_ard.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert Pool Object to ARD Format — pool_to_ard","text":"","code":"pool_to_ard(pool_obj, analysis_obj = NULL, conf.level = NULL)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/pool_to_ard.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert Pool Object to ARD Format — pool_to_ard","text":"pool_obj pooled analysis object class \"pool\", typically obtained rbmi::pool() calling analyse_mi_data(). analysis_obj optional analysis object (output analyse_mi_data()), used compute MI diagnostic statistics. provided pooling method Rubin's rules, ARD includes additional stat rows FMI, lambda, RIV, Barnard-Rubin adjusted df, complete-data df, relative efficiency, number imputations per parameter. NULL (default), base ARD returned. conf.level Confidence level used CI labels (e.g., 0.95 produces \"95% CI Lower\"). NULL (default), value taken pool_obj$conf.level. also NULL, defaults 0.95.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/pool_to_ard.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert Pool Object to ARD Format — pool_to_ard","text":"data frame class \"card\" (ARD format) grouping columns visit (group1), parameter_type (group2), lsm_type (group3). parameter produces rows five statistics: estimate, std.error, conf.low, conf.high, p.value, plus method row. analysis_obj provided pooling method Rubin's rules, additional diagnostic stat rows included: fmi, lambda, riv, df.adjusted, df.complete, re, m.imputations.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/pool_to_ard.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Convert Pool Object to ARD Format — pool_to_ard","text":"function works : Tidying pool object via tidy_pool_obj() Reshaping parameter long-format ARD rows (one row per statistic) Adding grouping columns (visit, parameter_type, lsm_type) Optionally enriching MI diagnostic statistics analysis_obj provided Applying cards::as_card() cards::tidy_ard_column_order() standard ARD structure analysis_obj provided: Rubin's rules pooling: diagnostic statistics (FMI, lambda, RIV, Barnard-Rubin adjusted df, relative efficiency) computed per parameter using per-imputation estimates, standard errors, degrees freedom. non-Rubin pooling methods: informative message emitted base ARD returned without diagnostic rows. resulting ARD passes cards::check_ard_structure() validation suitable downstream use gtsummary.","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/pool_to_ard.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert Pool Object to ARD Format — pool_to_ard","text":"","code":"# \\donttest{ if (requireNamespace(\"cards\", quietly = TRUE)) { library(rbmi) data(\"ADMI\", package = \"rbmiUtils\") ADMI$TRT <- factor(ADMI$TRT, levels = c(\"Placebo\", \"Drug A\")) ADMI$USUBJID <- factor(ADMI$USUBJID) ADMI$AVISIT <- factor(ADMI$AVISIT) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) method <- method_bayes( n_samples = 20, control = control_bayes(warmup = 20, thin = 1) ) ana_obj <- analyse_mi_data(ADMI, vars, method, fun = ancova) pool_obj <- pool(ana_obj) # Base ARD ard <- pool_to_ard(pool_obj) # Enriched ARD with MI diagnostics (FMI, lambda, RIV, df) ard_diag <- pool_to_ard(pool_obj, analysis_obj = ana_obj) } #> Warning: Data contains 100 imputations but method expects 20. Using first 20 #> imputations. # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/prepare_data_ice.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare Intercurrent Event Data — prepare_data_ice","title":"Prepare Intercurrent Event Data — prepare_data_ice","text":"Builds data_ice data.frame column dataset flags intercurrent events. subject, first visit (factor level order) flag TRUE used ICE visit.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/prepare_data_ice.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare Intercurrent Event Data — prepare_data_ice","text":"","code":"prepare_data_ice(data, vars, ice_col, strategy)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/prepare_data_ice.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare Intercurrent Event Data — prepare_data_ice","text":"data data.frame containing analysis dataset. vars vars object created rbmi::set_vars(). ice_col Character string naming column data indicates ICE occurrence. Accepted values logical (TRUE/FALSE), character (\"Y\"/\"N\"), numeric (1/0). strategy Character string specifying imputation strategy assign. Must one \"MAR\", \"CR\", \"JR\", \"CIR\", \"LMCF\".","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/prepare_data_ice.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare Intercurrent Event Data — prepare_data_ice","text":"data.frame columns corresponding vars$subjid, vars$visit, vars$strategy, suitable passing rbmi::draws().","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/prepare_data_ice.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prepare Intercurrent Event Data — prepare_data_ice","text":"","code":"library(rbmi) dat <- data.frame( USUBJID = factor(rep(c(\"S1\", \"S2\", \"S3\"), each = 3)), AVISIT = factor(rep(c(\"Week 4\", \"Week 8\", \"Week 12\"), 3), levels = c(\"Week 4\", \"Week 8\", \"Week 12\")), TRT = factor(rep(c(\"Placebo\", \"Drug A\", \"Drug A\"), each = 3)), CHG = rnorm(9), DISCFL = c(\"N\",\"N\",\"N\", \"N\",\"Y\",\"Y\", \"N\",\"N\",\"Y\") ) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\" ) ice <- prepare_data_ice(dat, vars, ice_col = \"DISCFL\", strategy = \"JR\") print(ice) #> USUBJID AVISIT strategy #> 1 S2 Week 8 JR #> 2 S3 Week 12 JR"},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.analysis.html","id":null,"dir":"Reference","previous_headings":"","what":"Print Method for Analysis Objects — print.analysis","title":"Print Method for Analysis Objects — print.analysis","text":"Prints summary analysis object analyse_mi_data().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.analysis.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Print Method for Analysis Objects — print.analysis","text":"","code":"# S3 method for class 'analysis' print(x, ...)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.analysis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Print Method for Analysis Objects — print.analysis","text":"x object class analysis. ... Additional arguments (currently unused).","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.analysis.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Print Method for Analysis Objects — print.analysis","text":"Invisibly returns input object.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.analysis.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Print Method for Analysis Objects — print.analysis","text":"","code":"# \\donttest{ library(rbmi) library(rbmiUtils) data(\"ADMI\") # Create analysis object vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\") ) method <- method_bayes(n_samples = 10, control = control_bayes(warmup = 10)) ana_obj <- analyse_mi_data(ADMI, vars, method, fun = function(d, v, ...) 1) #> Warning: Data contains 100 imputations but method expects 10. Using first 10 #> imputations. print(ana_obj) #> #> Analysis Object #> --------------- #> Number of Results: 10 #> Analysis Function: #> Delta Applied: FALSE #> Analysis Estimates: #> # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.describe_draws.html","id":null,"dir":"Reference","previous_headings":"","what":"Print Method for describe_draws Objects — print.describe_draws","title":"Print Method for describe_draws Objects — print.describe_draws","text":"Displays formatted summary draws description using cli formatting.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.describe_draws.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Print Method for describe_draws Objects — print.describe_draws","text":"","code":"# S3 method for class 'describe_draws' print(x, ...)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.describe_draws.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Print Method for describe_draws Objects — print.describe_draws","text":"x describe_draws object describe_draws(). ... Additional arguments (currently unused).","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.describe_draws.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Print Method for describe_draws Objects — print.describe_draws","text":"Invisibly returns x (pipe chaining).","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.describe_draws.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Print Method for describe_draws Objects — print.describe_draws","text":"","code":"if (FALSE) { # \\dontrun{ # After creating draws_obj via the rbmi pipeline (see describe_draws): desc <- describe_draws(draws_obj) print(desc) # Formatted cli output with method, formula, samples, convergence } # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.describe_imputation.html","id":null,"dir":"Reference","previous_headings":"","what":"Print Method for describe_imputation Objects — print.describe_imputation","title":"Print Method for describe_imputation Objects — print.describe_imputation","text":"Displays formatted summary imputation description using cli formatting, including method, number imputations, reference arm mappings, missingness breakdown visit treatment arm.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.describe_imputation.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Print Method for describe_imputation Objects — print.describe_imputation","text":"","code":"# S3 method for class 'describe_imputation' print(x, ...)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.describe_imputation.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Print Method for describe_imputation Objects — print.describe_imputation","text":"x describe_imputation object describe_imputation(). ... Additional arguments (currently unused).","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.describe_imputation.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Print Method for describe_imputation Objects — print.describe_imputation","text":"Invisibly returns x (pipe chaining).","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.describe_imputation.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Print Method for describe_imputation Objects — print.describe_imputation","text":"","code":"if (FALSE) { # \\dontrun{ # After creating impute_obj via the rbmi pipeline (see describe_imputation): desc <- describe_imputation(impute_obj) print(desc) # Formatted cli output with method, M, subjects, references, missingness } # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.pool.html","id":null,"dir":"Reference","previous_headings":"","what":"Print Method for Pool Objects — print.pool","title":"Print Method for Pool Objects — print.pool","text":"Displays formatted summary pooled analysis object rbmi::pool(). Uses cli formatting show rounded estimates, confidence intervals, parameter labels, method information, number imputations, confidence level.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.pool.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Print Method for Pool Objects — print.pool","text":"","code":"# S3 method for class 'pool' print(x, digits = 2, ...)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.pool.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Print Method for Pool Objects — print.pool","text":"x object class pool, typically obtained rbmi::pool(). digits Integer. Number decimal places rounding estimates, standard errors, confidence interval bounds. Default 2. ... Additional arguments (currently unused).","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.pool.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Print Method for Pool Objects — print.pool","text":"Invisibly returns original pool object x (pipe chaining).","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.pool.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Print Method for Pool Objects — print.pool","text":"method overrides rbmi::print.pool() provide enhanced, formatted console output using cli package. override produces \"Registered S3 method overwritten\" message package load time, expected harmless (pattern print.analysis()). output includes: header parameter visit counts Metadata: pooling method, number imputations, confidence level compact results table key columns: parameter, visit, est, lci, uci, pval","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/print.pool.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Print Method for Pool Objects — print.pool","text":"","code":"# \\donttest{ library(rbmi) library(rbmiUtils) data(\"ADMI\") ADMI$TRT <- factor(ADMI$TRT, levels = c(\"Placebo\", \"Drug A\")) ADMI$USUBJID <- factor(ADMI$USUBJID) ADMI$AVISIT <- factor(ADMI$AVISIT) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) method <- method_bayes(n_samples = 20, control = control_bayes(warmup = 20)) ana_obj <- analyse_mi_data(ADMI, vars, method, fun = ancova) #> Warning: Data contains 100 imputations but method expects 20. Using first 20 #> imputations. pool_obj <- pool(ana_obj) print(pool_obj) #> #> Pool Object #> ----------- #> Number of Results Combined: 20 #> Method: rubin #> Confidence Level: 0.95 #> Alternative: two.sided #> #> Results: #> #> ======================================================== #> parameter est se lci uci pval #> -------------------------------------------------------- #> trt_Week 24 -2.181 0.182 -2.539 -1.823 <0.001 #> lsm_ref_Week 24 0.086 0.132 -0.173 0.344 0.514 #> lsm_alt_Week 24 -2.096 0.126 -2.344 -1.847 <0.001 #> trt_Week 48 -3.794 0.256 -4.297 -3.29 <0.001 #> lsm_ref_Week 48 0.036 0.186 -0.33 0.403 0.846 #> lsm_alt_Week 48 -3.758 0.177 -4.106 -3.409 <0.001 #> -------------------------------------------------------- #> # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/rbmiUtils-package.html","id":null,"dir":"Reference","previous_headings":"","what":"rbmiUtils: Utility Functions to Support and Extend the 'rbmi' Package — rbmiUtils-package","title":"rbmiUtils: Utility Functions to Support and Extend the 'rbmi' Package — rbmiUtils-package","text":"Provides utility functions extend capabilities reference-based multiple imputation package 'rbmi'. supports clinical trial analysis workflows functions managing imputed datasets, applying analysis methods across imputations, tidying results reporting.","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/rbmiUtils-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"rbmiUtils: Utility Functions to Support and Extend the 'rbmi' Package — rbmiUtils-package","text":"Maintainer: Mark Baillie bailliem@gmail.com (ORCID) [copyright holder] Authors: Tobias Mütze tobias.muetze@novartis.com (ORCID) Jack Talboys jack.talboys@novartis.com contributors: Lukas . Widmer (ORCID) [contributor]","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/reduce_imputed_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Reduce Imputed Data for Efficient Storage — reduce_imputed_data","title":"Reduce Imputed Data for Efficient Storage — reduce_imputed_data","text":"Extracts imputed records (originally missing) full imputed dataset. significantly reduces storage requirements working many imputations, observed values identical across imputations need stored original data.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/reduce_imputed_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Reduce Imputed Data for Efficient Storage — reduce_imputed_data","text":"","code":"reduce_imputed_data(imputed_data, original_data, vars)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/reduce_imputed_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Reduce Imputed Data for Efficient Storage — reduce_imputed_data","text":"imputed_data data.frame containing full imputed dataset IMPID column identifying imputation. Typically output get_imputed_data(). original_data data.frame containing original dataset imputation, missing values outcome column. vars vars object created rbmi::set_vars().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/reduce_imputed_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Reduce Imputed Data for Efficient Storage — reduce_imputed_data","text":"data.frame containing rows imputed_data correspond originally missing outcome values. columns imputed_data preserved.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/reduce_imputed_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Reduce Imputed Data for Efficient Storage — reduce_imputed_data","text":"Storage savings depend proportion missing data. example: Original: 1000 rows, 44 missing values Full imputed (1000 imputations): 1,000,000 rows Reduced (1000 imputations): 44,000 rows (4.4\\ Use expand_imputed_data() reconstruct full imputed dataset needed analysis.","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/reduce_imputed_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Reduce Imputed Data for Efficient Storage — reduce_imputed_data","text":"","code":"library(rbmi) library(dplyr) # Example with package data data(\"ADMI\", package = \"rbmiUtils\") data(\"ADEFF\", package = \"rbmiUtils\") # Prepare original data to match ADMI structure original <- ADEFF |> mutate( TRT = TRT01P, USUBJID = as.character(USUBJID) ) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\" ) # Reduce to only imputed values reduced <- reduce_imputed_data(ADMI, original, vars) # Compare sizes cat(\"Full imputed rows:\", nrow(ADMI), \"\\n\") #> Full imputed rows: 100000 cat(\"Reduced rows:\", nrow(reduced), \"\\n\") #> Reduced rows: 4400 cat(\"Compression:\", round(100 * nrow(reduced) / nrow(ADMI), 1), \"%\\n\") #> Compression: 4.4 %"},{"path":"https://openpharma.github.io/rbmiUtils/reference/summarise_missingness.html","id":null,"dir":"Reference","previous_headings":"","what":"Summarise Missing Data Patterns — summarise_missingness","title":"Summarise Missing Data Patterns — summarise_missingness","text":"Tabulates missing outcome data visit treatment group, classifies subject's missing data pattern complete, monotone, intermittent.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/summarise_missingness.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summarise Missing Data Patterns — summarise_missingness","text":"","code":"summarise_missingness(data, vars)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/summarise_missingness.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summarise Missing Data Patterns — summarise_missingness","text":"data data.frame containing analysis dataset one row per subject-visit combination. vars vars object created rbmi::set_vars().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/summarise_missingness.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summarise Missing Data Patterns — summarise_missingness","text":"list three components: by_visit tibble columns: visit, group, n, n_miss, pct_miss patterns tibble columns: subjid, group, pattern (\"complete\", \"monotone\", \"intermittent\"), dropout_visit (NA monotone) summary tibble columns: group, n_subjects, n_complete, n_monotone, n_intermittent","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/summarise_missingness.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summarise Missing Data Patterns — summarise_missingness","text":"","code":"library(rbmi) dat <- data.frame( USUBJID = factor(rep(c(\"S1\", \"S2\", \"S3\", \"S4\"), each = 3)), AVISIT = factor(rep(c(\"Week 4\", \"Week 8\", \"Week 12\"), 4), levels = c(\"Week 4\", \"Week 8\", \"Week 12\")), TRT = factor(rep(c(\"Placebo\", \"Drug A\"), each = 6)), CHG = c(1, 2, 3, 1, NA, NA, 1, 2, NA, 1, NA, 2) ) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\" ) result <- summarise_missingness(dat, vars) print(result$by_visit) #> # A tibble: 6 × 5 #> visit group n n_miss pct_miss #> #> 1 Week 4 Drug A 2 0 0 #> 2 Week 4 Placebo 2 0 0 #> 3 Week 8 Drug A 2 1 50 #> 4 Week 8 Placebo 2 1 50 #> 5 Week 12 Drug A 2 1 50 #> 6 Week 12 Placebo 2 1 50 print(result$patterns) #> # A tibble: 4 × 4 #> USUBJID TRT pattern dropout_visit #> #> 1 S1 Placebo complete NA #> 2 S2 Placebo monotone Week 8 #> 3 S3 Drug A monotone Week 12 #> 4 S4 Drug A intermittent NA print(result$summary) #> # A tibble: 2 × 5 #> group n_subjects n_complete n_monotone n_intermittent #> #> 1 Drug A 2 0 1 1 #> 2 Placebo 2 1 1 0"},{"path":"https://openpharma.github.io/rbmiUtils/reference/summary.analysis.html","id":null,"dir":"Reference","previous_headings":"","what":"Summary Method for Analysis Objects — summary.analysis","title":"Summary Method for Analysis Objects — summary.analysis","text":"Provides detailed summary analysis object analyse_mi_data().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/summary.analysis.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summary Method for Analysis Objects — summary.analysis","text":"","code":"# S3 method for class 'analysis' summary(object, n_preview = 5, ...)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/summary.analysis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summary Method for Analysis Objects — summary.analysis","text":"object object class analysis. n_preview Maximum number parameters show preview table. Defaults 5. ... Additional arguments (currently unused).","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/summary.analysis.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summary Method for Analysis Objects — summary.analysis","text":"list containing summary information (invisibly).","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/summary.analysis.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summary Method for Analysis Objects — summary.analysis","text":"","code":"# \\donttest{ library(rbmi) library(rbmiUtils) data(\"ADMI\") # Create analysis object vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\") ) method <- method_bayes(n_samples = 10, control = control_bayes(warmup = 10)) ana_obj <- analyse_mi_data(ADMI, vars, method, fun = function(d, v, ...) 1) #> Warning: Data contains 100 imputations but method expects 10. Using first 10 #> imputations. summary(ana_obj) #> #> ── Analysis Object Summary ───────────────────────────────────────────────────── #> #> ── Imputations ── #> #> Count: 10 #> #> ── Analysis ── #> #> Function: `()` #> Delta: None #> #> ── Method ── #> #> Type: bayes #> Samples: 10 #> #> ── Pooling ── #> #> Method: rubin #> #> Next steps: #> 1. `pool_obj <- rbmi::pool(analysis_obj)` #> 2. `tidy_df <- tidy_pool_obj(pool_obj)` # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/summary.pool.html","id":null,"dir":"Reference","previous_headings":"","what":"Summary Method for Pool Objects — summary.pool","title":"Summary Method for Pool Objects — summary.pool","text":"Provides detailed visit-level breakdown pooled analysis results significance flags. Shows treatment comparisons least squares means grouped visit.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/summary.pool.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Summary Method for Pool Objects — summary.pool","text":"","code":"# S3 method for class 'pool' summary(object, alpha = 0.05, ...)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/summary.pool.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Summary Method for Pool Objects — summary.pool","text":"object object class pool, typically obtained rbmi::pool(). alpha Numeric. Significance threshold flagging p-values. Default 0.05. Flags : * p < alpha, ** p < 0.01, *** p < 0.001. ... Additional arguments (currently unused).","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/summary.pool.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Summary Method for Pool Objects — summary.pool","text":"Invisibly returns list : n_parameters Number parameters pool object visits Character vector unique visit names method Pooling method used n_imputations Number imputations combined conf.level Confidence level tidy_df full tidy tibble tidy_pool_obj()","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/summary.pool.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Summary Method for Pool Objects — summary.pool","text":"summary output groups results visit, showing treatment comparisons significance flags least squares means. provides quick overview visits statistically significant treatment effects. Significance flags: * p < alpha (default 0.05) ** p < 0.01 *** p < 0.001","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/summary.pool.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Summary Method for Pool Objects — summary.pool","text":"","code":"# \\donttest{ library(rbmi) library(rbmiUtils) data(\"ADMI\") ADMI$TRT <- factor(ADMI$TRT, levels = c(\"Placebo\", \"Drug A\")) ADMI$USUBJID <- factor(ADMI$USUBJID) ADMI$AVISIT <- factor(ADMI$AVISIT) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") ) method <- method_bayes(n_samples = 20, control = control_bayes(warmup = 20)) ana_obj <- analyse_mi_data(ADMI, vars, method, fun = ancova) #> Warning: Data contains 100 imputations but method expects 20. Using first 20 #> imputations. pool_obj <- pool(ana_obj) summary(pool_obj) #> #> ── Pool Object Summary ───────────────────────────────────────────────────────── #> Method: rubin #> N imputations: 20 #> Confidence: 95% #> Alternative: two.sided #> 6 parameters across 2 visits #> ──────────────────────────────────────────────────────────────────────────────── #> #> ── Week 24 ── #> #> Treatment Comparisons #> Treatment Comparison: -2.18 (-2.54, -1.82) p=< 0.001 *** #> Least Squares Means #> Least Squares Mean for Reference at Week 24: 0.09 (-0.17, 0.34) #> Least Squares Mean for Alternative at Week 24: -2.1 (-2.34, -1.85) #> #> ── Week 48 ── #> #> Treatment Comparisons #> Treatment Comparison: -3.79 (-4.3, -3.29) p=< 0.001 *** #> Least Squares Means #> Least Squares Mean for Reference at Week 48: 0.04 (-0.33, 0.4) #> Least Squares Mean for Alternative at Week 48: -3.76 (-4.11, -3.41) # }"},{"path":"https://openpharma.github.io/rbmiUtils/reference/tidy_pool_obj.html","id":null,"dir":"Reference","previous_headings":"","what":"Tidy and Annotate a Pooled Object for Publication — tidy_pool_obj","title":"Tidy and Annotate a Pooled Object for Publication — tidy_pool_obj","text":"function processes pooled analysis object class pool tidy tibble format. adds contextual information, whether parameter treatment comparison least squares mean, dynamically identifies visit names parameter column, provides additional columns parameter type, least squares mean type, visit.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/tidy_pool_obj.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Tidy and Annotate a Pooled Object for Publication — tidy_pool_obj","text":"","code":"tidy_pool_obj(pool_obj)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/tidy_pool_obj.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Tidy and Annotate a Pooled Object for Publication — tidy_pool_obj","text":"pool_obj pooled analysis object class pool, typically obtained rbmi::pool() calling analyse_mi_data().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/tidy_pool_obj.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Tidy and Annotate a Pooled Object for Publication — tidy_pool_obj","text":"tibble containing processed pooled analysis results following columns: parameter Original parameter name pooled object description Human-readable description parameter visit Visit name extracted parameter (applicable) parameter_type Either \"trt\" (treatment comparison) \"lsm\" (least squares mean) lsm_type LSM parameters: \"ref\" (reference) \"alt\" (alternative) est Point estimate se Standard error lci Lower confidence interval uci Upper confidence interval pval P-value","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/tidy_pool_obj.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Tidy and Annotate a Pooled Object for Publication — tidy_pool_obj","text":"function dynamically processes parameter column separating components (e.g., type estimate, reference vs. alternative arm, visit), provides informative descriptions output. Workflow: Prepare data run imputation rbmi Analyse analyse_mi_data() Pool rbmi::pool() Tidy tidy_pool_obj() publication-ready output","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/tidy_pool_obj.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Tidy and Annotate a Pooled Object for Publication — tidy_pool_obj","text":"","code":"# Example usage: library(dplyr) library(rbmi) data(\"ADMI\") N_IMPUTATIONS <- 100 BURN_IN <- 200 BURN_BETWEEN <- 5 # Convert key columns to factors ADMI$TRT <- factor(ADMI$TRT, levels = c(\"Placebo\", \"Drug A\")) ADMI$USUBJID <- factor(ADMI$USUBJID) ADMI$AVISIT <- factor(ADMI$AVISIT) # Define key variables for ANCOVA analysis vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\", \"REGION\") # Covariates for adjustment ) # Specify the imputation method (Bayesian) - need for pool step method <- rbmi::method_bayes( n_samples = N_IMPUTATIONS, control = rbmi::control_bayes( warmup = BURN_IN, thin = BURN_BETWEEN ) ) # Perform ANCOVA Analysis on Each Imputed Dataset ana_obj_ancova <- analyse_mi_data( data = ADMI, vars = vars, method = method, fun = ancova, # Apply ANCOVA delta = NULL # No sensitivity analysis adjustment ) pool_obj_ancova <- pool(ana_obj_ancova) tidy_df <- tidy_pool_obj(pool_obj_ancova) # Print tidy data frames print(tidy_df) #> # A tibble: 6 × 10 #> parameter description visit parameter_type lsm_type est se lci #> #> 1 trt_Week 24 Treatment … Week… trt NA -2.17 0.182 -2.53 #> 2 lsm_ref_Week 24 Least Squa… Week… lsm ref 0.0782 0.131 -0.179 #> 3 lsm_alt_Week 24 Least Squa… Week… lsm alt -2.09 0.126 -2.34 #> 4 trt_Week 48 Treatment … Week… trt NA -3.81 0.256 -4.31 #> 5 lsm_ref_Week 48 Least Squa… Week… lsm ref 0.0481 0.185 -0.316 #> 6 lsm_alt_Week 48 Least Squa… Week… lsm alt -3.76 0.176 -4.11 #> # ℹ 2 more variables: uci , pval "},{"path":"https://openpharma.github.io/rbmiUtils/reference/validate_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Validate Data Before Imputation — validate_data","title":"Validate Data Before Imputation — validate_data","text":"Pre-flight validation data, variable specification, intercurrent event data calling rbmi::draws(). Collects issues reports together single error message.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/validate_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Validate Data Before Imputation — validate_data","text":"","code":"validate_data(data, vars, data_ice = NULL)"},{"path":"https://openpharma.github.io/rbmiUtils/reference/validate_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Validate Data Before Imputation — validate_data","text":"data data.frame containing analysis dataset. vars vars object created rbmi::set_vars(). data_ice optional data.frame intercurrent events. provided, must contain columns corresponding vars$subjid, vars$visit, vars$strategy. Can created using prepare_data_ice().","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/validate_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Validate Data Before Imputation — validate_data","text":"Invisibly returns TRUE checks pass. Throws error collected messages issues found.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/reference/validate_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Validate Data Before Imputation — validate_data","text":"following checks performed: data data.frame columns named vars exist data subjid, visit, group columns factors outcome column numeric Covariate columns missing values Data one row per subject-visit combination data_ice provided: correct columns, valid subjects, valid visits, recognised strategies, one row per subject Recommended Workflow: Call validate_data() check data Use prepare_data_ice() create ICE data needed Review missingness summarise_missingness() Proceed rbmi::draws() imputation","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/reference/validate_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Validate Data Before Imputation — validate_data","text":"","code":"library(rbmi) dat <- data.frame( USUBJID = factor(rep(c(\"S1\", \"S2\", \"S3\"), each = 3)), AVISIT = factor(rep(c(\"Week 4\", \"Week 8\", \"Week 12\"), 3), levels = c(\"Week 4\", \"Week 8\", \"Week 12\")), TRT = factor(rep(c(\"Placebo\", \"Drug A\", \"Drug A\"), each = 3)), CHG = c(1.1, 2.2, 3.3, 0.5, NA, NA, 1.0, 2.0, NA), BASE = rep(c(10, 12, 11), each = 3), STRATA = factor(rep(c(\"A\", \"B\", \"A\"), each = 3)) ) vars <- set_vars( subjid = \"USUBJID\", visit = \"AVISIT\", group = \"TRT\", outcome = \"CHG\", covariates = c(\"BASE\", \"STRATA\") ) validate_data(dat, vars)"},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"new-features-0-4-0","dir":"Changelog","previous_headings":"","what":"New Features","title":"rbmiUtils 0.4.0","text":"describe_draws() extracts structured metadata rbmi draws objects, including method type, formula, sample count, (Bayesian methods) MCMC convergence diagnostics (ESS, Rhat). describe_imputation() extracts imputation metadata including method, number imputations (M), reference arm mappings, missingness breakdown visit treatment arm. pool_to_ard() gains analysis_obj parameter enriches ARD MI diagnostic statistics (FMI, lambda, RIV, Barnard-Rubin adjusted df, relative efficiency) pooling method Rubin’s rules.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"improvements-0-4-0","dir":"Changelog","previous_headings":"","what":"Improvements","title":"rbmiUtils 0.4.0","text":"efficacy_table() gains font_family, font_size, row_padding parameters publication-ready table styling. plot_forest() gains font_family panel_widths parameters customizable typography panel layout. plot_forest() left panel now uses left-aligned text (hjust=0) consistent positioning regardless label length. Non-Rubin pooling methods now emit informative cli::cli_inform() message MI diagnostics applicable, rather returning NA rows.","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"new-features-0-3-0","dir":"Changelog","previous_headings":"","what":"New Features","title":"rbmiUtils 0.3.0","text":"End--end pipeline vignette “rbmi Analysis Regulatory Tables” continuous binary analysis walkthroughs. README enhanced rendered efficacy table forest plot visual teasers. Rendered example output images plot_forest() efficacy_table() help pages. Inline cross-references rbmi beeca documentation vignettes.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"improvements-0-3-0","dir":"Changelog","previous_headings":"","what":"Improvements","title":"rbmiUtils 0.3.0","text":"validate_data() now uses cli-formatted error messages clearer guidance malformed interaction terms, empty data, type mismatches. prepare_data_ice() now errors immediately vars$strategy NULL instead silently using default column name. prepare_data_ice() warns visit column character guidance convert factor correct ordering. validate_data() batches type coercion warnings single message warns -NA covariate columns. Data preparation functions handle edge cases (single subject, single visit, -NA outcome, -complete data) gracefully.","code":""},{"path":[]},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"breaking-changes-0-2-0","dir":"Changelog","previous_headings":"","what":"Breaking Changes","title":"rbmiUtils 0.2.0","text":"tidy_pool_obj() now uses regex-based parameter parsing instead splitting _. Output columns (parameter_type, lsm_type, visit) now contain full visit name rather truncated fragments.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"new-features-0-2-0","dir":"Changelog","previous_headings":"","what":"New Features","title":"rbmiUtils 0.2.0","text":"efficacy_table() creates regulatory-style gt summary tables pool objects. plot_forest() creates publication-quality three-panel forest plots pool objects. pool_to_ard() converts pool objects pharmaverse ARD format via cards package. print() summary() S3 methods pool analysis objects. create_impid() converts lists imputed datasets stacked data.frames. combine_results() combines tidy results multiple analyses. format_results() format_results_table() publication-ready formatting. extract_trt_effects() extract_lsm() convenience filters tidy results.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"dependencies-0-2-0","dir":"Changelog","previous_headings":"","what":"Dependencies","title":"rbmiUtils 0.2.0","text":"Added cli (>= 3.6.0) lifecycle (>= 1.0.4) Imports improved error messaging deprecation support.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"improvements-0-2-0","dir":"Changelog","previous_headings":"","what":"Improvements","title":"rbmiUtils 0.2.0","text":"Enhanced input validation analyse_mi_data() clearer error messages using inherits() instead internal class helpers. Enhanced input validation prepare_data_ice() check vars fields. Cross-references related functions documentation. Expanded test coverage integration tests.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"previous-releases-0-2-0","dir":"Changelog","previous_headings":"","what":"Previous Releases","title":"rbmiUtils 0.2.0","text":"reduce_imputed_data() expand_imputed_data() efficient storage imputed datasets. validate_data() pre-flight validation rbmi::draws(). prepare_data_ice() build data_ice flagged ICE columns. summarise_missingness() tabulating missing data patterns. format_pvalue(), format_estimate(), format_results_table() formatting utilities. ADEFF ADMI example datasets. Initial documentation via pkgdown.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"rbmiutils-0-2-0","dir":"Changelog","previous_headings":"","what":"rbmiUtils 0.1.8","title":"rbmiUtils 0.2.0","text":"CRAN release: 2026-01-24","code":""},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"rbmiutils-0-2-0-1","dir":"Changelog","previous_headings":"","what":"rbmiUtils 0.1.7","title":"rbmiUtils 0.2.0","text":"Moved tidyr Suggests Imports (used tidy_pool_obj()). Added examples gcomp_responder() documentation. Standardized examples use native pipe operator |>.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"rbmiutils-0-2-0-2","dir":"Changelog","previous_headings":"","what":"rbmiUtils 0.1.6","title":"rbmiUtils 0.2.0","text":"CRAN release: 2025-09-13 Added additional tests utility functions.","code":""},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"rbmiutils-0-2-0-3","dir":"Changelog","previous_headings":"","what":"rbmiUtils 0.1.4","title":"rbmiUtils 0.2.0","text":"CRAN release: 2025-05-23","code":""},{"path":"https://openpharma.github.io/rbmiUtils/news/index.html","id":"first-release-0-2-0","dir":"Changelog","previous_headings":"","what":"First release","title":"rbmiUtils 0.2.0","text":"Preparation CRAN submission. Initial draft package. Added NEWS.md file track changes package. Added documentation via pkgdown.","code":""}] diff --git a/docs/site.webmanifest b/docs/site.webmanifest deleted file mode 100644 index 4ebda26..0000000 --- a/docs/site.webmanifest +++ /dev/null @@ -1,21 +0,0 @@ -{ - "name": "", - "short_name": "", - "icons": [ - { - "src": "/web-app-manifest-192x192.png", - "sizes": "192x192", - "type": "image/png", - "purpose": "maskable" - }, - { - "src": "/web-app-manifest-512x512.png", - "sizes": "512x512", - "type": "image/png", - "purpose": "maskable" - } - ], - "theme_color": "#ffffff", - "background_color": "#ffffff", - "display": "standalone" -} \ No newline at end of file diff --git a/docs/sitemap.xml b/docs/sitemap.xml deleted file mode 100644 index 6bdd9fc..0000000 --- a/docs/sitemap.xml +++ /dev/null @@ -1,51 +0,0 @@ - -https://openpharma.github.io/rbmiUtils/404.html -https://openpharma.github.io/rbmiUtils/LICENSE.html -https://openpharma.github.io/rbmiUtils/articles/analyse2.html -https://openpharma.github.io/rbmiUtils/articles/data-preparation.html -https://openpharma.github.io/rbmiUtils/articles/diagnostics.html -https://openpharma.github.io/rbmiUtils/articles/efficient-storage.html -https://openpharma.github.io/rbmiUtils/articles/index.html -https://openpharma.github.io/rbmiUtils/articles/pipeline.html -https://openpharma.github.io/rbmiUtils/authors.html -https://openpharma.github.io/rbmiUtils/index.html -https://openpharma.github.io/rbmiUtils/news/index.html -https://openpharma.github.io/rbmiUtils/reference/ADEFF.html -https://openpharma.github.io/rbmiUtils/reference/ADMI.html -https://openpharma.github.io/rbmiUtils/reference/analyse_mi_data.html -https://openpharma.github.io/rbmiUtils/reference/as_analysis2.html -https://openpharma.github.io/rbmiUtils/reference/as_simple_formula2.html -https://openpharma.github.io/rbmiUtils/reference/combine_results.html -https://openpharma.github.io/rbmiUtils/reference/create_impid.html -https://openpharma.github.io/rbmiUtils/reference/describe_draws.html -https://openpharma.github.io/rbmiUtils/reference/describe_imputation.html -https://openpharma.github.io/rbmiUtils/reference/efficacy_table.html -https://openpharma.github.io/rbmiUtils/reference/expand_imputed_data.html -https://openpharma.github.io/rbmiUtils/reference/extract_covariates2.html -https://openpharma.github.io/rbmiUtils/reference/extract_lsm.html -https://openpharma.github.io/rbmiUtils/reference/extract_trt_effects.html -https://openpharma.github.io/rbmiUtils/reference/format_estimate.html -https://openpharma.github.io/rbmiUtils/reference/format_pvalue.html -https://openpharma.github.io/rbmiUtils/reference/format_results.html -https://openpharma.github.io/rbmiUtils/reference/format_results_table.html -https://openpharma.github.io/rbmiUtils/reference/gcomp_binary.html -https://openpharma.github.io/rbmiUtils/reference/gcomp_responder.html -https://openpharma.github.io/rbmiUtils/reference/gcomp_responder_multi.html -https://openpharma.github.io/rbmiUtils/reference/get_imputed_data.html -https://openpharma.github.io/rbmiUtils/reference/index.html -https://openpharma.github.io/rbmiUtils/reference/plot_forest.html -https://openpharma.github.io/rbmiUtils/reference/pool_to_ard.html -https://openpharma.github.io/rbmiUtils/reference/prepare_data_ice.html -https://openpharma.github.io/rbmiUtils/reference/print.analysis.html -https://openpharma.github.io/rbmiUtils/reference/print.describe_draws.html -https://openpharma.github.io/rbmiUtils/reference/print.describe_imputation.html -https://openpharma.github.io/rbmiUtils/reference/print.pool.html -https://openpharma.github.io/rbmiUtils/reference/rbmiUtils-package.html -https://openpharma.github.io/rbmiUtils/reference/reduce_imputed_data.html -https://openpharma.github.io/rbmiUtils/reference/summarise_missingness.html -https://openpharma.github.io/rbmiUtils/reference/summary.analysis.html -https://openpharma.github.io/rbmiUtils/reference/summary.pool.html -https://openpharma.github.io/rbmiUtils/reference/tidy_pool_obj.html -https://openpharma.github.io/rbmiUtils/reference/validate_data.html - - diff --git a/docs/web-app-manifest-192x192.png b/docs/web-app-manifest-192x192.png deleted file mode 100644 index df9e44f..0000000 Binary files a/docs/web-app-manifest-192x192.png and /dev/null differ diff --git a/docs/web-app-manifest-512x512.png b/docs/web-app-manifest-512x512.png deleted file mode 100644 index cf3d0e9..0000000 Binary files a/docs/web-app-manifest-512x512.png and /dev/null differ diff --git a/inst/WORDLIST b/inst/WORDLIST index 64285e6..7636e8a 100644 --- a/inst/WORDLIST +++ b/inst/WORDLIST @@ -52,6 +52,7 @@ ggplot gt's gtsummary hjust +inferable intercurrent labelled lci @@ -71,6 +72,7 @@ rbmi rbmi's recognised responder +responders rhat se standardised diff --git a/man/analyse_mi_data.Rd b/man/analyse_mi_data.Rd index fc4786c..4e3ba72 100644 --- a/man/analyse_mi_data.Rd +++ b/man/analyse_mi_data.Rd @@ -10,7 +10,8 @@ analyse_mi_data( method = NULL, fun = rbmi::ancova, delta = NULL, - ... + ..., + pooling = NULL ) } \arguments{ @@ -21,7 +22,8 @@ Typically obtained from \code{\link[=get_imputed_data]{get_imputed_data()}} or \ Created using \code{\link[rbmi:set_vars]{rbmi::set_vars()}}. Required.} \item{method}{A method object specifying the imputation method used (e.g., Bayesian imputation). -Created using \code{\link[rbmi:method]{rbmi::method_bayes()}}, \code{\link[rbmi:method]{rbmi::method_approxbayes()}}, or \code{\link[rbmi:method]{rbmi::method_condmean()}}. Required.} +Created using \code{\link[rbmi:method]{rbmi::method_bayes()}}, \code{\link[rbmi:method]{rbmi::method_approxbayes()}}, or \code{\link[rbmi:method]{rbmi::method_condmean()}}. +Optional if \code{pooling} is supplied.} \item{fun}{A function that will be applied to each imputed dataset. Defaults to \link[rbmi:ancova]{rbmi::ancova}. Other options include \code{\link[=gcomp_responder_multi]{gcomp_responder_multi()}} for binary outcomes. Must be a valid analysis function.} @@ -30,6 +32,23 @@ Other options include \code{\link[=gcomp_responder_multi]{gcomp_responder_multi( Must contain columns matching \code{vars$subjid}, \code{vars$visit}, \code{vars$group}, and a \code{delta} column.} \item{...}{Additional arguments passed to the analysis function \code{fun}.} + +\item{pooling}{Optional length-one character giving the pooling strategy +directly: \code{"rubin"}, \code{"bootstrap"}, \code{"jackknife"}, or \code{"bmlmi"}. Use this +when the imputation method that produced \code{data} is unknown. Supply either +\code{method} or \code{pooling}; if both are given they must agree (see +\code{\link[=get_pooling]{get_pooling()}}). For an imputed dataset of unknown provenance, +\code{pooling = "rubin"} is recommended: \code{"bootstrap"} and \code{"jackknife"} +pooling assume a specific ordering of samples (original-data estimate +first for bootstrap) that cannot be verified without the method object, +and \code{"bmlmi"} cannot be selected via \code{pooling} alone because the number +of analyses per imputation (D) is not inferable from the data. When only +\code{pooling} is supplied, the number of imputations is taken from the data +and no sample-count check is performed. In this case, the returned +object's \code{method} element is a constructed stand-in consistent with the +chosen pooling strategy, not the true imputation method — it exists only +to satisfy \code{\link[rbmi:pool]{rbmi::pool()}}'s internal validation, and \code{print()}/\code{summary()} +report it as not supplied rather than as a real method.} } \value{ An object of class \code{analysis} containing the results from applying the analysis function to each imputed dataset. @@ -90,6 +109,14 @@ ana_obj_ancova <- analyse_mi_data( delta = NULL # No sensitivity analysis adjustment ) +# When the imputation method is unknown, specify pooling directly: +ana_obj <- analyse_mi_data( + data = ADMI, + vars = vars, + pooling = "rubin", + fun = ancova +) + } \seealso{ \itemize{ @@ -97,6 +124,7 @@ ana_obj_ancova <- analyse_mi_data( \item \code{\link[rbmi:pool]{rbmi::pool()}} for pooling the analysis results \item The \href{https://CRAN.R-project.org/package=rbmi/vignettes/quickstart.html}{rbmi quickstart vignette} \item \code{\link[=tidy_pool_obj]{tidy_pool_obj()}} to format pooled results for publication +\item \code{\link[=get_pooling]{get_pooling()}} for the method-to-pooling mapping \item \code{\link[=get_imputed_data]{get_imputed_data()}} to extract imputed datasets from rbmi objects \item \code{\link[=expand_imputed_data]{expand_imputed_data()}} to reconstruct full imputed data from reduced form \item \code{\link[=gcomp_responder_multi]{gcomp_responder_multi()}} for binary outcome analysis diff --git a/man/get_pooling.Rd b/man/get_pooling.Rd new file mode 100644 index 0000000..40073f7 --- /dev/null +++ b/man/get_pooling.Rd @@ -0,0 +1,39 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/get_pooling.R +\name{get_pooling} +\alias{get_pooling} +\title{Determine the Pooling Strategy for an Imputation Method} +\usage{ +get_pooling(method) +} +\arguments{ +\item{method}{A method object created by \code{\link[rbmi:method]{rbmi::method_bayes()}}, +\code{\link[rbmi:method]{rbmi::method_approxbayes()}}, \code{\link[rbmi:method]{rbmi::method_condmean()}}, or +\code{\link[rbmi:method]{rbmi::method_bmlmi()}}.} +} +\value{ +A length-one character vector: \code{"rubin"}, \code{"bootstrap"}, +\code{"jackknife"}, or \code{"bmlmi"}. +} +\description{ +Maps an \code{rbmi} method object to the pooling strategy that +\code{\link[rbmi:pool]{rbmi::pool()}} will apply to the analysis results: +\itemize{ +\item \code{\link[rbmi:method]{rbmi::method_bayes()}} / \code{\link[rbmi:method]{rbmi::method_approxbayes()}} -> \code{"rubin"} +\item \code{\link[rbmi:method]{rbmi::method_condmean()}} with \code{type = "bootstrap"} -> \code{"bootstrap"} +\item \code{\link[rbmi:method]{rbmi::method_condmean()}} with \code{type = "jackknife"} -> \code{"jackknife"} +\item \code{\link[rbmi:method]{rbmi::method_bmlmi()}} -> \code{"bmlmi"} +} + +This is the single source of truth used internally by +\code{\link[=analyse_mi_data]{analyse_mi_data()}}; it is exported so the mapping is transparent and +usable in user code (see issue #50). +} +\examples{ +get_pooling(rbmi::method_bayes(n_samples = 10)) +get_pooling(rbmi::method_condmean(type = "jackknife")) + +} +\seealso{ +\code{\link[=analyse_mi_data]{analyse_mi_data()}} +} diff --git a/tests/testthat/test-analyse_mi_data.R b/tests/testthat/test-analyse_mi_data.R index e0dfb84..d4cb497 100644 --- a/tests/testthat/test-analyse_mi_data.R +++ b/tests/testthat/test-analyse_mi_data.R @@ -40,7 +40,7 @@ test_that("Error when data is NULL", { }) test_that("Error when IMPID is missing from data", { - ADMI_no_impid <- ADMI %>% select(-IMPID) + ADMI_no_impid <- ADMI |> dplyr::select(-IMPID) expect_error( analyse_mi_data(data = ADMI_no_impid, vars = vars), class = "rbmiUtils_error_validation" @@ -532,6 +532,52 @@ test_that("analyse_mi_data output is compatible with rbmi::pool", { }) +# ============================================================================= +# Tests for pooling argument validation (Task 2) +# ============================================================================= + +test_that("Error when both method and pooling are NULL", { + expect_error( + analyse_mi_data(data = ADMI, vars = vars, fun = dummy_analysis_fun), + class = "rbmiUtils_error_validation" + ) +}) + +test_that("Error when pooling is not a valid strategy", { + expect_error( + analyse_mi_data( + data = ADMI, vars = vars, pooling = "banana", fun = dummy_analysis_fun + ), + class = "rbmiUtils_error_validation" + ) + expect_error( + analyse_mi_data( + data = ADMI, vars = vars, pooling = c("rubin", "bootstrap"), + fun = dummy_analysis_fun + ), + class = "rbmiUtils_error_validation" + ) +}) + +test_that("Error when method and pooling conflict", { + expect_error( + analyse_mi_data( + data = ADMI, vars = vars, method = method, pooling = "jackknife", + fun = dummy_analysis_fun + ), + class = "rbmiUtils_error_validation" + ) +}) + +test_that("Consistent method and pooling together are accepted", { + ana_obj <- analyse_mi_data( + data = ADMI, vars = vars, method = method, pooling = "rubin", + fun = dummy_analysis_fun + ) + expect_s3_class(ana_obj, "analysis") +}) + + # ============================================================================= # Tests for enhanced print.analysis and summary.analysis (02-02) # ============================================================================= @@ -660,3 +706,206 @@ test_that("summary.analysis returns summary list", { expect_equal(result$method_type, "bayes") expect_equal(result$pooling_method, "rubin") }) + + +# ============================================================================= +# Tests for pooling-only path (Task 3) +# ============================================================================= + +# Analysis function returning the structure rbmi::pool() expects: +# a named list of parameters, each with est/se/df +pool_ready_fun <- function(data, vars, ...) { + x <- data[[vars$outcome]] + list( + trt = list( + est = mean(x, na.rm = TRUE), + se = stats::sd(x, na.rm = TRUE) / sqrt(sum(!is.na(x))), + df = sum(!is.na(x)) - 1 + ) + ) +} + +test_that("pooling-only path produces an object rbmi::pool() accepts", { + ana_obj <- analyse_mi_data( + data = ADMI, vars = vars, pooling = "rubin", fun = pool_ready_fun + ) + expect_s3_class(ana_obj, "analysis") + expect_s3_class(ana_obj$results, "rubin") + + pool_obj <- rbmi::pool(ana_obj) + expect_s3_class(pool_obj, "pool") + expect_true(is.finite(pool_obj$pars$trt$est)) +}) + +test_that("pooling-only and method paths give identical pooled results", { + ana_pooling <- analyse_mi_data( + data = ADMI, vars = vars, pooling = "rubin", fun = pool_ready_fun + ) + ana_method <- analyse_mi_data( + data = ADMI, vars = vars, method = method, fun = pool_ready_fun + ) + expect_identical( + rbmi::pool(ana_pooling)$pars, + rbmi::pool(ana_method)$pars + ) +}) + +test_that("pooling-only path skips the n_samples check", { + # method expects 5 imputations; take only 3 and use pooling directly + admi_3 <- ADMI[ADMI$IMPID %in% 1:3, ] + expect_no_warning( + ana_obj <- analyse_mi_data( + data = admi_3, vars = vars, pooling = "rubin", fun = pool_ready_fun + ) + ) + expect_length(ana_obj$results, 3) + expect_s3_class(rbmi::pool(ana_obj), "pool") +}) + +test_that("n_samples check still enforced when method is supplied", { + admi_3 <- ADMI[ADMI$IMPID %in% 1:3, ] + expect_error( + analyse_mi_data( + data = admi_3, vars = vars, method = method, fun = pool_ready_fun + ), + class = "rbmiUtils_error_validation" + ) +}) + +test_that("pooling = 'bmlmi' without method errors with guidance", { + expect_error( + analyse_mi_data( + data = ADMI, vars = vars, pooling = "bmlmi", fun = pool_ready_fun + ), + class = "rbmiUtils_error_validation" + ) +}) + +test_that("jackknife pooling-only path sets the jackknife results class", { + ana_obj <- analyse_mi_data( + data = ADMI, vars = vars, pooling = "jackknife", fun = pool_ready_fun + ) + expect_s3_class(ana_obj$results, "jackknife") + + # rbmi::pool() should succeed on the jackknife stand-in path (F2) + pool_obj <- rbmi::pool(ana_obj) + expect_s3_class(pool_obj, "pool") +}) + + +# ============================================================================= +# Tests for bootstrap pooling-only path (final review F2) +# ============================================================================= + +test_that("pooling = 'bootstrap' without method produces a bootstrap analysis and pool() succeeds", { + ana_obj <- analyse_mi_data( + data = ADMI, vars = vars, pooling = "bootstrap", fun = pool_ready_fun + ) + expect_s3_class(ana_obj, "analysis") + expect_s3_class(ana_obj$results, "bootstrap") + + pool_obj <- rbmi::pool(ana_obj) + expect_s3_class(pool_obj, "pool") +}) + + +# ============================================================================= +# Tests for bootstrap stand-in guard with too few imputations (final review F3) +# ============================================================================= + +test_that("pooling = 'bootstrap' errors informatively with fewer than 2 imputations", { + admi_1 <- ADMI[ADMI$IMPID == 1, ] + expect_error( + analyse_mi_data( + data = admi_1, vars = vars, pooling = "bootstrap", fun = pool_ready_fun + ), + class = "rbmiUtils_error_validation" + ) +}) + +test_that("make_standin_method errors informatively for bootstrap with n_imps < 2", { + expect_error( + make_standin_method("bootstrap", 1), + class = "rbmiUtils_error_validation" + ) + expect_error( + make_standin_method("bootstrap", 0), + class = "rbmiUtils_error_validation" + ) +}) + + +# ============================================================================= +# Tests for make_standin_method() default arm (final review F4) +# ============================================================================= + +test_that("make_standin_method aborts informatively on an unknown pooling string", { + expect_error( + make_standin_method("banana", 5), + class = "rbmiUtils_error_validation" + ) +}) + + +# ============================================================================= +# Tests for stand-in method provenance tagging (final review F1) +# ============================================================================= + +test_that("make_standin_method tags the stand-in without breaking class detection", { + m_rubin <- make_standin_method("rubin", 5) + expect_true(inherits(m_rubin, "bayes")) + expect_true(inherits(m_rubin, "rbmiUtils_standin")) + expect_identical(get_pooling(m_rubin), "rubin") + + m_boot <- make_standin_method("bootstrap", 5) + expect_true(inherits(m_boot, "condmean")) + expect_true(inherits(m_boot, "rbmiUtils_standin")) + expect_identical(get_pooling(m_boot), "bootstrap") + + m_jack <- make_standin_method("jackknife", 5) + expect_true(inherits(m_jack, "condmean")) + expect_true(inherits(m_jack, "rbmiUtils_standin")) + expect_identical(get_pooling(m_jack), "jackknife") +}) + +test_that("print.analysis for a pooling-only object does not claim a fabricated method", { + ana_obj <- analyse_mi_data( + data = ADMI, vars = vars, pooling = "rubin", fun = pool_ready_fun + ) + out_text <- capture_cli_output(print(ana_obj)) + + # Must NOT assert Bayesian provenance the user never claimed + expect_false(grepl("Method:\\s*bayes\\b", out_text)) + # Must indicate the method was not supplied, and show the pooling used + expect_true(grepl("not supplied", out_text, ignore.case = TRUE)) + expect_true(grepl("rubin", out_text)) +}) + +test_that("summary.analysis for a pooling-only object does not claim a fabricated method", { + ana_obj <- analyse_mi_data( + data = ADMI, vars = vars, pooling = "jackknife", fun = pool_ready_fun + ) + out_text <- capture_cli_output(summary(ana_obj)) + + # Must NOT assert condmean provenance the user never claimed + expect_false(grepl("Type:\\s*condmean\\b", out_text)) + expect_true(grepl("not supplied", out_text, ignore.case = TRUE)) + expect_true(grepl("jackknife", out_text)) + + result <- NULL + capture_cli_output(result <- summary(ana_obj)) + expect_false(identical(result$method_type, "condmean")) +}) + +test_that("print.analysis and summary.analysis are unaffected when method is supplied (no regression)", { + ana_obj <- analyse_mi_data( + data = ADMI, vars = vars, method = method, fun = pool_ready_fun + ) + out_print <- capture_cli_output(print(ana_obj)) + expect_true(grepl("Method:\\s*bayes\\b", out_print)) + expect_false(grepl("not supplied", out_print, ignore.case = TRUE)) + + out_summary <- capture_cli_output(summary(ana_obj)) + expect_true(grepl("Type:\\s*bayes\\b", out_summary)) + expect_false(grepl("not supplied", out_summary, ignore.case = TRUE)) +}) diff --git a/tests/testthat/test-get_pooling.R b/tests/testthat/test-get_pooling.R new file mode 100644 index 0000000..20afa11 --- /dev/null +++ b/tests/testthat/test-get_pooling.R @@ -0,0 +1,33 @@ +test_that("get_pooling maps method classes to pooling strategies", { + expect_identical( + get_pooling(rbmi::method_bayes(n_samples = 5)), + "rubin" + ) + expect_identical( + get_pooling(rbmi::method_approxbayes(n_samples = 5)), + "rubin" + ) + expect_identical( + get_pooling(rbmi::method_condmean(type = "bootstrap", n_samples = 5)), + "bootstrap" + ) + expect_identical( + get_pooling(rbmi::method_condmean(type = "jackknife")), + "jackknife" + ) + expect_identical( + get_pooling(rbmi::method_bmlmi(B = 5, D = 2)), + "bmlmi" + ) +}) + +test_that("get_pooling errors informatively on unrecognised input", { + expect_error( + get_pooling(list(n_samples = 5)), + class = "rbmiUtils_error_validation" + ) + expect_error( + get_pooling(NULL), + class = "rbmiUtils_error_validation" + ) +}) diff --git a/tests/testthat/test-utils.R b/tests/testthat/test-utils.R index b811f4f..447f49c 100644 --- a/tests/testthat/test-utils.R +++ b/tests/testthat/test-utils.R @@ -6,7 +6,7 @@ test_that("positive test get_imputed_data (from vignettes)", { N_IMPUTATIONS <- 100 # Prepare the data - ADEFF <- ADEFF %>% + ADEFF <- ADEFF |> dplyr::mutate( TRT = factor(TRT01P, levels = c("Placebo", "Drug A")), USUBJID = factor(USUBJID), @@ -32,8 +32,8 @@ test_that("positive test get_imputed_data (from vignettes)", { ) # Subset relevant columns - dat <- ADEFF %>% - select(USUBJID, STRATA, REGION, REGIONC, TRT, BASE, CHG, AVISIT) + dat <- ADEFF |> + dplyr::select(USUBJID, STRATA, REGION, REGIONC, TRT, BASE, CHG, AVISIT) # Fit the imputation model and perform imputation draws_obj <- rbmi::draws( diff --git a/vignettes/analyse2.Rmd b/vignettes/analyse2.Rmd index f7b0220..393892a 100644 --- a/vignettes/analyse2.Rmd +++ b/vignettes/analyse2.Rmd @@ -65,7 +65,7 @@ set.seed(1974) ```{r load-data} data("ADEFF") -ADEFF <- ADEFF %>% +ADEFF <- ADEFF |> mutate( TRT = factor(TRT01P, levels = c("Placebo", "Drug A")), USUBJID = factor(USUBJID), @@ -96,7 +96,7 @@ method <- method_bayes( ``` ```{r impute} -dat <- ADEFF %>% +dat <- ADEFF |> select(USUBJID, STRATA, REGION, REGIONC, TRT, BASE, CHG, AVISIT) draws_obj <- draws(data = dat, vars = vars, method = method) @@ -110,7 +110,7 @@ ADMI <- get_imputed_data(impute_obj) # Step 3: Add Responder Variables ```{r derive-responder} -ADMI <- ADMI %>% +ADMI <- ADMI |> mutate( CRIT1FLN = ifelse(CHG > 3, 1, 0), CRIT1FL = ifelse(CRIT1FLN == 1, "Y", "N"),