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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 |
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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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.