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: 0.0.7
Imports: abind, ggplot2 (≥ 3.3.4), gridExtra, matrixStats, plyr, Rcpp (≥ 1.0.1), tibble
LinkingTo: Rcpp, RcppArmadillo
Suggests: AmesHousing, covr, earth, htmltools, knitr, lightgbm, ranger, reticulate (≥ 1.14), rmarkdown, rstudioapi, tinytest, titanic, xgboost
Published: 2021-12-06
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
NeedsCompilation: yes
Materials: NEWS
CRAN checks: fastshap results

Documentation:

Reference manual: fastshap.pdf

Downloads:

Package source: fastshap_0.0.7.tar.gz
Windows binaries: r-devel: fastshap_0.0.7.zip, r-release: fastshap_0.0.7.zip, r-oldrel: fastshap_0.0.7.zip
macOS binaries: r-release (arm64): fastshap_0.0.7.tgz, r-oldrel (arm64): fastshap_0.0.7.tgz, r-release (x86_64): fastshap_0.0.7.tgz, r-oldrel (x86_64): fastshap_0.0.7.tgz
Old sources: fastshap archive

Reverse dependencies:

Reverse imports: itsdm
Reverse suggests: ENMTools, vip

Linking:

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