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.tar.gz(r-4.5-noble)RLT_3.2.6.tar.gz(r-4.4-noble)
RLT_3.2.6.tgz(r-4.4-emscripten)RLT_3.2.6.tgz(r-4.3-emscripten)
RLT.pdf |RLT.html✨
RLT/json (API)
NEWS
| # 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 2 years agofrom:26e069bc54. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 01 2024 |
| R-4.5-linux-x86_64 | OK | Dec 01 2024 |
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 |
