Package: RLT 4.2.6
RLT: Reinforcement Learning Trees
Random forest with a variety of additional features for regression, classification, survival analysis and graphical model. New features include parallel computing with OpenMP, reproduciblity with random seeds, variance and confidence band estimations, embedded model for selecting splitting varibles and constructing linear combination splits, observaton and variable weights, setting and tracking subjects used in each tree, etc.
Authors:
RLT_4.2.6.tar.gz
RLT_4.2.6.zip(r-4.5)RLT_4.2.6.zip(r-4.4)RLT_4.2.6.zip(r-4.3)
RLT_4.2.6.tgz(r-4.4-x86_64)RLT_4.2.6.tgz(r-4.4-arm64)RLT_4.2.6.tgz(r-4.3-x86_64)RLT_4.2.6.tgz(r-4.3-arm64)
RLT_4.2.6.tar.gz(r-4.5-noble)RLT_4.2.6.tar.gz(r-4.4-noble)
RLT_4.2.6.tgz(r-4.4-emscripten)RLT_4.2.6.tgz(r-4.3-emscripten)
RLT.pdf |RLT.html✨
RLT/json (API)
NEWS
| # Install 'RLT' in R: |
| install.packages('RLT', repos = c('https://teazrq.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/teazrq/rlt/issues
Last updated 15 days agofrom:6e26065085. Checks:OK: 1 WARNING: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win-x86_64 | WARNING | Nov 08 2024 |
| R-4.5-linux-x86_64 | WARNING | Nov 08 2024 |
| R-4.4-win-x86_64 | WARNING | Nov 08 2024 |
| R-4.4-mac-x86_64 | WARNING | Nov 08 2024 |
| R-4.4-mac-aarch64 | WARNING | Nov 08 2024 |
| R-4.3-win-x86_64 | WARNING | Nov 08 2024 |
| R-4.3-mac-x86_64 | WARNING | Nov 08 2024 |
| R-4.3-mac-aarch64 | WARNING | Nov 08 2024 |
Exports:cindexforest.kernelget.one.treeget.surv.bandmytestRLT
Dependencies:base64encBHbslibcachemclicodetoolsdigestdqrngdrevaluatefastmapfontawesomeforeachfsglmnetgluehighrhtmltoolshtmlwidgetsiteratorsjquerylibjsonliteknitrlatticelifecyclemagrittrMASSMatrixmemoisemimemisc3dorthoDrplot3DpracmaR6rappdirsRcppRcppArmadilloRcppEigenrglrlangrmarkdownsassshapesitmosurvivaltinytexxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| C-index | cindex |
| random forest kernel | forest.kernel |
| Print a single tree | get.one.tree |
| get.surv.band | get.surv.band |
| mytest | mytest |
| prediction using RLT | predict.RLT |
| Print a RLT object | print.RLT |
| Reinforcement Learning Trees | RLT |
