Package: vip
Type: Package
Title: Variable Importance Plots
Version: 0.5.0
Authors@R: c(
  person(c("Brandon", "M."), family = "Greenwell", 
         email = "greenwell.brandon@gmail.com",
         role = c("aut", "cre"), 
         comment = c(ORCID = "0000-0002-8120-0084")),
  person("Brad", "Boehmke",
         email = "bradleyboehmke@gmail.com",
         role = c("aut"),
         comment = c(ORCID = "0000-0002-3611-8516"))
  )
Description: A general framework for constructing variable importance
        plots from various types of machine learning models in R. Aside
        from some standard model- specific variable importance
        measures, this package also provides model- agnostic approaches
        that can be applied to any supervised learning algorithm. These
        include 1) an efficient permutation-based variable importance
        measure, 2) variable importance based on Shapley values
        (Strumbelj and Kononenko, 2014)
        <doi:10.1007/s10115-013-0679-x>, and 3) the variance-based
        approach described in Greenwell et al. (2018)
        <doi:10.48550/arXiv.1805.04755>. A variance-based method for
        quantifying the relative strength of interaction effects is
        also included (see the previous reference for details).
License: GPL (>= 2)
URL: https://github.com/bgreenwell/vip,
        https://bgreenwell.github.io/vip/,
        https://bgreenwell.r-universe.dev/vip
BugReports: https://github.com/bgreenwell/vip/issues
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Imports: stats, tinyplot (>= 0.3.0), utils
Suggests: covr, doParallel, fastshap (>= 0.1.0), foreach, knitr,
        mlbench, modeldata, NeuralNetTools, pdp, rmarkdown, rpart,
        tinytest (>= 1.4.3), varImp, yardstick
Enhances: C50, caret, Cubist, earth, gbm, glmnet, h2o, lightgbm,
        mixOmics, mlr, mlr3, neuralnet, nnet, parsnip (>= 0.1.7),
        party, partykit, pls, randomForest, ranger, RSNNS, sparklyr (>=
        0.8.0), tidymodels, workflows (>= 0.2.3), xgboost (>= 3.2.0)
Additional_repositories: https://bgreenwell.r-universe.dev
RoxygenNote: 7.3.3
Roxygen: list(markdown = TRUE)
Repository: https://bgreenwell.r-universe.dev
Date/Publication: 2026-07-04 20:10:59 UTC
RemoteUrl: https://github.com/bgreenwell/vip
RemoteRef: main
RemoteSha: 4722bbe2b9aef245ecb1ea3ff30b46ff21f86ed8
NeedsCompilation: no
Packaged: 2026-07-04 20:51:49 UTC; root
Author: Brandon M. Greenwell [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8120-0084>),
  Brad Boehmke [aut] (ORCID: <https://orcid.org/0000-0002-3611-8516>)
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>