Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm R package treeshap version 0.4.0 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'. Software Depends: R (>= 4.1.0) Imports: data.table, ggplot2, Rcpp LinkingTo: Rcpp Suggests: gbm, jsonlite, lightgbm, gpboost, randomForest, ranger, scales, survival, testthat, xgboost Michael Mayer <mayermichael79@gmail.com> Comprehensive R Archive Network (CRAN) Michael Mayer [aut, cre], Konrad Komisarczyk [aut], Pawel Kozminski [aut], Szymon Maksymiuk [aut] (ORCID: <https://orcid.org/0000-0002-3120-1601>), Lorenz A. Kapsner [ctb] (ORCID: <https://orcid.org/0000-0003-1866-860X>), Mikolaj Spytek [ctb] (ORCID: <https://orcid.org/0000-0001-7111-2286>), Mateusz Krzyzinski [ctb] (ORCID: <https://orcid.org/0000-0001-6143-488X>), Przemyslaw Biecek [aut, cph] (ORCID: <https://orcid.org/0000-0001-8423-1823>) GPL-3 2026-04-24 application/tgz https://CRAN.R-project.org/package=treeshap doi:10.32614/CRAN.package.treeshap