Kernel SHAP R package kernelshap version 0.9.1 CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning) Efficient implementation of Kernel SHAP (Lundberg and Lee, 2017, <doi:10.48550/arXiv.1705.07874>) permutation SHAP, and additive SHAP for model interpretability. For Kernel SHAP and permutation SHAP, if the number of features is too large for exact calculations, the algorithms iterate until the SHAP values are sufficiently precise in terms of their standard errors. The package integrates smoothly with meta-learning packages such as 'tidymodels', 'caret' or 'mlr3'. It supports multi-output models, case weights, and parallel computations. Visualizations can be done using the R package 'shapviz'. Software Depends: R (>= 3.2.0) Imports: doFuture, foreach, stats, utils Suggests: testthat (>= 3.0.0) Michael Mayer <mayermichael79@gmail.com> Comprehensive R Archive Network (CRAN) Michael Mayer [aut, cre] (ORCID: <https://orcid.org/0009-0007-2540-9629>), David Watson [aut] (ORCID: <https://orcid.org/0000-0001-9632-2159>), Przemyslaw Biecek [ctb] (ORCID: <https://orcid.org/0000-0001-8423-1823>) GPL (>= 2) 2025-09-20 application/tgz https://CRAN.R-project.org/package=kernelshap doi:10.32614/CRAN.package.kernelshap