CRAN: Package fastshap

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.

Version: 0.1.1

Depends: R (≥ 3.6.0)

Imports: foreach, Rcpp (≥ 1.0.1), utils

LinkingTo: Rcpp, RcppArmadillo

Suggests: AmesHousing, covr, earth, knitr, ranger, rmarkdown, shapviz (≥ 0.8.0), tibble, tinytest (≥ 1.4.1)

Enhances: lightgbm, xgboost

Published: 2024年02月22日

DOI: 10.32614/CRAN.package.fastshap

Author: Brandon Greenwell ORCID iD [aut, cre]

Maintainer: Brandon Greenwell <greenwell.brandon at gmail.com>

BugReports: https://github.com/bgreenwell/fastshap/issues

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

URL: https://github.com/bgreenwell/fastshap, https://bgreenwell.github.io/fastshap/

NeedsCompilation: yes

Materials: NEWS

In views: MachineLearning

CRAN checks: fastshap results

Documentation:

Reference manual: fastshap.html , fastshap.pdf

Vignettes: fastshap (source)

Downloads:

Package source: fastshap_0.1.1.tar.gz

Windows binaries: r-devel: fastshap_0.1.1.zip, r-release: fastshap_0.1.1.zip, r-oldrel: fastshap_0.1.1.zip

macOS binaries: r-release (arm64): fastshap_0.1.1.tgz, r-oldrel (arm64): fastshap_0.1.1.tgz, r-release (x86_64): fastshap_0.1.1.tgz, r-oldrel (x86_64): fastshap_0.1.1.tgz

Old sources: fastshap archive

Reverse dependencies:

Reverse imports: flowml, itsdm, MLwrap, PEAXAI

Reverse suggests: ENMTools, innsight, mlr3summary, nestedcv, ubair, vip

Reverse enhances: shapviz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fastshap to link to this page.