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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: | 1.4 |
| Imports: | RRF, arules, gbm, xtable, xgboost, data.table, methods |
| Published: | 2024-04-23 |
| DOI: | 10.32614/CRAN.package.inTrees |
| Author: | Houtao Deng [aut, cre], Xin Guan [aut], Vadim Khotilovich [aut] |
| Maintainer: | Houtao Deng <softwaredeng at gmail.com> |
| BugReports: | https://github.com/softwaredeng/inTrees/issues |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | inTrees results |
| Reference manual: | inTrees.pdf |
| Package source: | inTrees_1.4.tar.gz |
| Windows binaries: | r-devel: inTrees_1.4.zip, r-release: inTrees_1.4.zip, r-oldrel: inTrees_1.4.zip |
| macOS binaries: | r-release (arm64): inTrees_1.4.tgz, r-oldrel (arm64): inTrees_1.4.tgz, r-release (x86_64): inTrees_1.4.tgz, r-oldrel (x86_64): inTrees_1.4.tgz |
| Old sources: | inTrees archive |
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These binaries (installable software) and packages are in development.
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