Package: XAItest
Title: XAItest: Enhancing Feature Discovery with eXplainable AI
Version: 1.5.0
Authors@R: c(
    person("Ghislain", "FIEVET", , "ghislain.fievet@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0337-7327")),
    person("Sébastien", "HERGALANT", role = "aut",
    email="sebastien.hergalant@inserm.fr", comment=c(ORCID = "0000-0001-8456-7992")))
Description: XAItest is an R Package that identifies features using
        eXplainable AI (XAI) methods such as SHAP or LIME. This package
        allows users to compare these methods with traditional
        statistical tests like t-tests, empirical Bayes, and Fisher's
        test. Additionally, it includes simThresh, a system that
        enables the comparison of feature importance with p-values by
        incorporating calibrated simulated data.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
biocViews: Software, StatisticalMethod, FeatureExtraction,
        Classification, Regression
Suggests: knitr, ggforce, shapr (>= 1.0.1), airway, xgboost,
        BiocGenerics, RUnit, S4Vectors
Imports: limma, randomForest, kernelshap, caret, lime, DT, methods,
        SummarizedExperiment, ggplot2
VignetteBuilder: knitr
URL: https://github.com/GhislainFievet/XAItest
BugReports: https://github.com/GhislainFievet/XAItest/issues
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 13:04:39 UTC
RemoteUrl: https://github.com/bioc/XAItest
RemoteRef: HEAD
RemoteSha: 849972d05d49c678fdfbd58154a52a61933ce76a
NeedsCompilation: no
Packaged: 2026-07-02 09:57:32 UTC; root
Author: Ghislain FIEVET [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0337-7327>),
  Sébastien HERGALANT [aut] (ORCID:
    <https://orcid.org/0000-0001-8456-7992>)
Maintainer: Ghislain FIEVET <ghislain.fievet@gmail.com>
Depends: R (>= 3.5.0)