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: 0.1-15 Imports: gbm, dplyr, rpart, rpart.plot, ggplot2 Suggests: pdp, randomForest Published: 2025-01-10 DOI: 10.32614/CRAN.package.xgrove Author: Gero Szepannek [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.html , xgrove.pdf Downloads: Package source: xgrove_0.1-15.tar.gz Windows binaries: r-devel: xgrove_0.1-15.zip, r-release: xgrove_0.1-15.zip, r-oldrel: xgrove_0.1-15.zip macOS binaries: r-release (arm64): xgrove_0.1-15.tgz, r-oldrel (arm64): xgrove_0.1-15.tgz, r-release (x86_64): xgrove_0.1-15.tgz, r-oldrel (x86_64): xgrove_0.1-15.tgz Old sources: xgrove archive Linking:Please use the canonical form https://CRAN.R-project.org/package=xgrove to link to this page.
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