Package: fastshap 0.1.5

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_0.1.5.tar.gz
fastshap_0.1.5.zip(r-4.7)fastshap_0.1.5.zip(r-4.6)fastshap_0.1.5.zip(r-4.5)
fastshap_0.1.5.tgz(r-4.6-x86_64)fastshap_0.1.5.tgz(r-4.6-arm64)fastshap_0.1.5.tgz(r-4.5-x86_64)fastshap_0.1.5.tgz(r-4.5-arm64)
fastshap_0.1.5.tar.gz(r-4.7-arm64)fastshap_0.1.5.tar.gz(r-4.7-x86_64)fastshap_0.1.5.tar.gz(r-4.6-arm64)fastshap_0.1.5.tar.gz(r-4.6-x86_64)
fastshap_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fastshap/json (API)

# 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

9.01 score 135 stars 2 packages 424 scripts 256 downloads 2 exports 5 dependencies

Last updated from:a1ad363bbd. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	164
linux-devel-x86_64	OK	212
source / vignettes	OK	231
linux-release-arm64	OK	162
linux-release-x86_64	OK	181
macos-release-arm64	OK	117
macos-release-x86_64	OK	282
macos-oldrel-arm64	OK	120
macos-oldrel-x86_64	OK	200
windows-devel	OK	146
windows-release	OK	140
windows-oldrel	OK	160
wasm-release	OK	160

Exports:explain gen_friedman

Dependencies:codetools foreach iterators Rcpp RcppArmadillo

fastshap

Local explanations | Raw Shapley values | Global explanations | Parallel processing

Rendered fromfastshap.Rmdusingknitr::rmarkdown

Last update: 2026-06-29
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