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: 3.2.1
Suggests: randomForest, survival
Published: 2017-11-19
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_3.2.1.tar.gz
Windows binaries: r-devel: RLT_3.2.1.zip, r-release: RLT_3.2.1.zip, r-oldrel: RLT_3.2.1.zip
OS X binaries: r-release: RLT_3.2.1.tgz, r-oldrel: RLT_3.2.1.tgz
Old sources: RLT archive


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