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xgrove: Explanation Groves

Compute surrogate explanation groves for predictive machine learning models and analyze complexity vs. explanatory power of an explanation according to Szepannek, G. and von Holt, B. (2023) <doi:10.1007/s41237-023-00205-2>.

Version: 0.1-13
Imports: gbm, dplyr, rpart, rpart.plot
Suggests: pdp, randomForest
Published: 2024-09-22
DOI: 10.32614/CRAN.package.xgrove
Author: Gero Szepannek ORCID iD [aut, cre]
Maintainer: Gero Szepannek <gero.szepannek at web.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: xgrove results

Documentation:

Reference manual: xgrove.pdf

Downloads:

Package source: xgrove_0.1-13.tar.gz
Windows binaries: r-devel: xgrove_0.1-13.zip, r-release: xgrove_0.1-13.zip, r-oldrel: xgrove_0.1-13.zip
macOS binaries: r-release (arm64): xgrove_0.1-13.tgz, r-oldrel (arm64): xgrove_0.1-13.tgz, r-release (x86_64): xgrove_0.1-13.tgz, r-oldrel (x86_64): xgrove_0.1-13.tgz
Old sources: xgrove archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=xgrove 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.
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