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: 3.1.0
Depends: R (≥ 3.0.0)
Suggests: randomForest, parallel, survival, randomForestSRC, glmnet
Published: 2017-04-09
Author: Ruoqing Zhu
Maintainer: Ruoqing Zhu <teazrq at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://sites.google.com/site/teazrq/
NeedsCompilation: yes
Citation: RLT citation info
Materials: NEWS
In views: MachineLearning
CRAN checks: RLT results


Reference manual: RLT.pdf
Package source: RLT_3.1.0.tar.gz
Windows binaries: r-devel: RLT_3.1.0.zip, r-release: RLT_3.1.0.zip, r-oldrel: RLT_3.1.0.zip
OS X El Capitan binaries: r-release: RLT_3.1.0.tgz
OS X Mavericks binaries: r-oldrel: not available


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