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 ORCID iD [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


Reference manual: RLT.pdf


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


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