The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
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

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:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.