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Package: IntegratedLearner
Type: Package
Title: Integrated Multi-Omics Learning for Survival and Other Outcomes
Version: 0.99.3
Authors@R: c(
person("Nalin", "Arora", email = "naa4050@med.cornell.edu",
role = c("aut", "cre", "cph"),
comment = c(ORCID = "0009-0009-1340-688X")),
person("Anupreet", "Porwal", role = "aut"),
person("Himel", "Mallick", email = "him4004@med.cornell.edu",
role = "aut",
comment = c(ORCID = "0000-0003-4956-2429"))
)
Description: Provides a unified interface for multi-omics
prediction using early and late fusion for continuous,
binary, multiclass, and survival outcomes. It supports both
MultiAssayExperiment and PCL-style inputs, performs input validation and
feature/sample harmonization across layers, and provides model fitting,
prediction, plotting, and variable-importance utilities.
License: MIT + file LICENSE
URL: https://github.com/himelmallick/IntegratedLearner
BugReports: https://github.com/himelmallick/IntegratedLearner/issues
Encoding: UTF-8
Depends:
R (>= 4.6.0)
Imports:
BART,
CoxBoost,
bayesplot,
bayesreg,
bartMachine,
stats,
utils,
cowplot,
ggplot2,
gbm,
glmnetUtils,
mboost,
nnet,
nloptr,
quadprog,
randomForest,
timeROC,
SuperLearner,
survival,
glmnet,
ranger,
SummarizedExperiment,
MultiAssayExperiment,
caret,
ROCR,
dplyr,
tibble,
tidyr,
withr,
multiview,
xgboost
Suggests:
BiocStyle,
mlbench,
prediction,
S4Vectors,
testthat (>= 3.0.0),
knitr,
rmarkdown
SystemRequirements:
Java (optional; required for sl_bart / bartMachine workflows)
VignetteBuilder:
knitr
biocViews:
Software,
Classification,
Survival,
Microbiome
Config/testthat/edition: 3
Roxygen: list(markdown = TRUE)
RoxygenNote: 8.0.0