inTrees: Interpret Tree Ensembles

For tree ensembles such as random forests, regularized random forests and gradient boosted trees, this package provides functions for: extracting, measuring and pruning rules; selecting a compact rule set; summarizing rules into a learner; calculating frequent variable interactions; formatting rules in latex code. Reference: Interpreting tree ensembles with inTrees (Houtao Deng, 2019, <doi:10.1007/s41060-018-0144-8>).

Version: 1.3
Imports: RRF, arules, gbm, xtable, xgboost, data.table, methods
Published: 2022-05-31
Author: Houtao Deng [aut, cre], Xin Guan [aut], Vadim Khotilovich [aut]
Maintainer: Houtao Deng <softwaredeng at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: NEWS
CRAN checks: inTrees results


Reference manual: inTrees.pdf


Package source: inTrees_1.3.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): inTrees_1.3.tgz, r-release (arm64): inTrees_1.3.tgz, r-oldrel (arm64): inTrees_1.3.tgz, r-prerel (x86_64): inTrees_1.3.tgz, r-release (x86_64): inTrees_1.3.tgz
Old sources: inTrees archive

Reverse dependencies:

Reverse imports: CRE


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