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: 0.1-7
Imports: gbm, dplyr, rpart, rpart.plot
Suggests: pdp, randomForest
Published: 2023-09-13
Author: Gero Szepannek [aut, cre]
Maintainer: Gero Szepannek <gero.szepannek at web.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: xgrove citation info
Materials: README NEWS
CRAN checks: xgrove results

Documentation:

Reference manual: xgrove.pdf

Downloads:

Package source: xgrove_0.1-7.tar.gz
Windows binaries: r-prerel: xgrove_0.1-7.zip, r-release: xgrove_0.1-7.zip, r-oldrel: xgrove_0.1-7.zip
macOS binaries: r-prerel (arm64): xgrove_0.1-7.tgz, r-release (arm64): xgrove_0.1-7.tgz, r-oldrel (arm64): xgrove_0.1-7.tgz, r-prerel (x86_64): xgrove_0.1-7.tgz, r-release (x86_64): xgrove_0.1-7.tgz

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