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 |
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