vimp/DESCRIPTION at master · bdwilliamson/vimp · GitHub

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Package: vimp
Type: Package
Title: Perform Inference on Algorithm-Agnostic Variable Importance
Version: 2.3.8
Authors@R:
    c(person(given = "Brian D.",
             family = "Williamson",
             role = c("aut", "cre"),
             email = "brian.d.williamson@kp.org",
             comment = c(ORCID = "0000-0002-7024-548X")),
      person(given = "Jean",
             family = "Feng",
             role = "ctb"),
      person(given = "Charlie",
             family = "Wolock",
             role = "ctb"),
      person(given = "Noah",
             family = "Simon",
             role = "ths",
             comment = c(ORCID = "0000-0002-8985-2474")),
      person(given = "Marco",
             family = "Carone",
             role = "ths",
             comment = c(ORCID = "0000-0003-2106-0953")))
Description: Calculate point estimates of and valid confidence intervals for
    nonparametric, algorithm-agnostic variable importance measures in high and low dimensions,
    using flexible estimators of the underlying regression functions. For more information
    about the methods, please see Williamson et al. (Biometrics, 2020),  Williamson et al. (JASA, 2021), and Williamson and Feng (ICML, 2020).
Depends:
    R (>= 3.1.0)
Imports:
    SuperLearner,
    stats,
    dplyr,
    magrittr,
    ROCR,
    tibble,
    rlang,
    MASS,
    data.table,
    boot,
    rsample
Suggests:
    knitr,
    rmarkdown,
    gam,
    xgboost,
    glmnet,
    ranger,
    polspline,
    quadprog,
    covr,
    testthat,
    ggplot2,
    cowplot,
    cvAUC,
    tidyselect,
    WeightedROC,
    purrr
License: MIT + file LICENSE
URL: https://bdwilliamson.github.io/vimp/,
    https://github.com/bdwilliamson/vimp,
    http://bdwilliamson.github.io/vimp/
BugReports: https://github.com/bdwilliamson/vimp/issues
RoxygenNote: 7.3.2
VignetteBuilder: knitr
LazyData: true