An efficient implementation of the 'TreeSHAP' algorithm introduced by Lundberg et al., (2020) <doi:10.1038/s42256-019-0138-9>. It is capable of calculating SHAP (SHapley Additive exPlanations) values for tree-based models in polynomial time. Currently supported models include 'gbm', 'randomForest', 'ranger', 'xgboost', 'lightgbm'.
Version: 0.3.1 Depends: R (≥ 2.10) Imports: data.table, ggplot2, Rcpp LinkingTo: Rcpp Suggests: gbm, jsonlite, lightgbm, randomForest, ranger, scales, survival, testthat, xgboost Published: 2024-01-22 DOI: 10.32614/CRAN.package.treeshap Author: Konrad Komisarczyk [aut], Pawel Kozminski [aut], Szymon Maksymiuk [aut], Lorenz A. Kapsner [ctb], Mikolaj Spytek [ctb], Mateusz Krzyzinski [ctb, cre], Przemyslaw Biecek [aut, cph] Maintainer: Mateusz Krzyzinski <krzyzinskimateusz23 at gmail.com> BugReports: https://github.com/ModelOriented/treeshap/issues License: GPL-3 URL: https://modeloriented.github.io/treeshap/, https://github.com/ModelOriented/treeshap NeedsCompilation: yes CRAN checks: treeshap results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=treeshap to link to this page.
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