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), subject weight, variable weight, tracking subjects used in each tree, etc.

Version: 3.2.4
Suggests: randomForest, survival
Published: 2022-01-25
Author: Ruoqing Zhu
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: NEWS
In views: MachineLearning
CRAN checks: RLT results


Reference manual: RLT.pdf


Package source: RLT_3.2.4.tar.gz
Windows binaries: r-devel: RLT_3.2.4.zip, r-release: RLT_3.2.4.zip, r-oldrel: RLT_3.2.4.zip
macOS binaries: r-release (arm64): RLT_3.2.4.tgz, r-oldrel (arm64): RLT_3.2.4.tgz, r-release (x86_64): RLT_3.2.4.tgz, r-oldrel (x86_64): RLT_3.2.4.tgz
Old sources: RLT archive


Please use the canonical form https://CRAN.R-project.org/package=RLT to link to this page.