Package: fastshap 0.1.4

fastshap: Fast Approximate Shapley Values

Computes fast (relative to other implementations) approximate Shapley values for any supervised learning model. Shapley values help to explain the predictions from any black box model using ideas from game theory; see Strumbel and Kononenko (2014) <doi:10.1007/s10115-013-0679-x> for details.

Authors:Brandon Greenwell [aut, cre]

fastshap_0.1.4.tar.gz
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fastshap_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fastshap/json (API)
NEWS

# Install 'fastshap' in R:

install.packages('fastshap', repos = c('https://bgreenwell.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bgreenwell/fastshap/issues

Pkgdown/docs site:https://bgreenwell.github.io

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

titanic - Survival of Titanic passengers
titanic_mice - Survival of Titanic passengers

On CRAN:

explainable-ai explainable-ml interpretable-machine-learning shapley shapley-values variable-importance xai cpp

9.63 score 133 stars 2 packages 422 scripts 8.4k downloads 2 exports 5 dependencies

Last updated from:4e59367cd5. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	176
linux-devel-x86_64	OK	155
source / vignettes	OK	189
linux-release-arm64	OK	146
linux-release-x86_64	OK	162
macos-release-arm64	OK	91
macos-release-x86_64	OK	205
macos-oldrel-arm64	OK	129
macos-oldrel-x86_64	OK	322
windows-devel	OK	165
windows-release	OK	185
windows-oldrel	OK	147
wasm-release	OK	118

Exports:explain gen_friedman

Dependencies:codetools foreach iterators Rcpp RcppArmadillo

fastshap

Rendered fromfastshap.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2026-04-21
Started: 2019-11-10

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Fast approximate Shapley values	explain explain.default explain.lgb.Booster explain.lm explain.xgb.Booster
Friedman benchmark data	gen_friedman
Survival of Titanic passengers	titanic
Survival of Titanic passengers	titanic_mice