The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

kernelshap: Kernel SHAP

Efficient implementation of Kernel SHAP, see Lundberg and Lee (2017), and Covert and Lee (2021) <http://proceedings.mlr.press/v130/covert21a>. Furthermore, for up to 14 features, exact permutation SHAP values can be calculated. The package plays well together with meta-learning packages like 'tidymodels', 'caret' or 'mlr3'. Visualizations can be done using the R package 'shapviz'.

Version: 0.7.0
Depends: R (≥ 3.2.0)
Imports: foreach, MASS, stats, utils
Suggests: doFuture, testthat (≥ 3.0.0)
Published: 2024-08-17
DOI: 10.32614/CRAN.package.kernelshap
Author: Michael Mayer ORCID iD [aut, cre], David Watson ORCID iD [aut], Przemyslaw Biecek ORCID iD [ctb]
Maintainer: Michael Mayer <mayermichael79 at gmail.com>
BugReports: https://github.com/ModelOriented/kernelshap/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/ModelOriented/kernelshap
NeedsCompilation: no
Materials: README NEWS
In views: MachineLearning
CRAN checks: kernelshap results

Documentation:

Reference manual: kernelshap.pdf

Downloads:

Package source: kernelshap_0.7.0.tar.gz
Windows binaries: r-devel: kernelshap_0.7.0.zip, r-release: kernelshap_0.7.0.zip, r-oldrel: kernelshap_0.7.0.zip
macOS binaries: r-release (arm64): kernelshap_0.7.0.tgz, r-oldrel (arm64): kernelshap_0.7.0.tgz, r-release (x86_64): kernelshap_0.7.0.tgz, r-oldrel (x86_64): kernelshap_0.7.0.tgz
Old sources: kernelshap archive

Reverse dependencies:

Reverse imports: survex

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.