RLT: Reinforcement Learning Trees
Random forest with a variety of additional features for regression, classification and survival analysis. The features include: parallel computing with OpenMP, embedded model for selecting the splitting variable, based on Zhu, Zeng & Kosorok (2015) <doi:10.1080/01621459.2015.1036994>, subject weight, variable weight, tracking subjects used in each tree, etc.
| Version: | 3.2.6 |
| Suggests: | randomForest, survival |
| Published: | 2023-04-28 |
| DOI: | 10.32614/CRAN.package.RLT |
| Author: | Ruoqing Zhu  [aut,
cre, cph] |
| Maintainer: | Ruoqing Zhu <teazrq at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://cran.r-project.org/package=RLT |
| NeedsCompilation: | yes |
| Citation: | RLT citation info |
| Materials: | README NEWS |
| In views: | MachineLearning |
| CRAN checks: | RLT results |
Documentation:
| Reference manual: | RLT.pdf |
Downloads:
| Package source: | RLT_3.2.6.tar.gz |
| Windows binaries: | r-devel: RLT_3.2.6.zip, r-release: RLT_3.2.6.zip, r-oldrel: RLT_3.2.6.zip |
| macOS binaries: | r-release (arm64): RLT_3.2.6.tgz, r-oldrel (arm64): RLT_3.2.6.tgz, r-release (x86_64): RLT_3.2.6.tgz, r-oldrel (x86_64): RLT_3.2.6.tgz |
| Old sources: | RLT archive |
Linking:
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