Package: RLT 3.2.6
Ruoqing Zhu
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.
Authors:
RLT_3.2.6.tar.gz
RLT_3.2.6.zip(r-4.7-x86_64)RLT_3.2.6.zip(r-4.7-arm64)RLT_3.2.6.zip(r-4.6-x86_64)RLT_3.2.6.zip(r-4.6-arm64)
RLT_3.2.6.tar.gz(r-4.7-arm64)RLT_3.2.6.tar.gz(r-4.7-x86_64)RLT_3.2.6.tar.gz(r-4.6-arm64)RLT_3.2.6.tar.gz(r-4.6-x86_64)
RLT_3.2.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RLT/json (API)
| # Install 'RLT' in R: |
| install.packages('RLT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:26e069bc54. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 147 | ||
| linux-devel-x86_64 | OK | 151 | ||
| source / vignettes | OK | 187 | ||
| linux-release-arm64 | OK | 156 | ||
| linux-release-x86_64 | OK | 154 | ||
| windows-devel-arm64 | OK | 209 | ||
| windows-devel-x86_64 | OK | 201 | ||
| windows-release-arm64 | OK | 176 | ||
| windows-release-x86_64 | OK | 163 | ||
| wasm-release | OK | 137 |
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Muting rate | MuteRate |
| Prediction function for reinforcement learning trees | predict.RLT |
| Print a RLT object | print.RLT |
| Reinforcement Learning Trees | RLT |