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-4.5-x86_64)RLT_4.2.6.tgz(r-4.5-arm64)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
Pkgdown site:https://teazrq.github.io
Last updated 5 months agofrom:6e26065085. Checks:1 OK, 11 WARNING. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 08 2025 |
R-4.5-win-x86_64 | WARNING | Mar 08 2025 |
R-4.5-mac-x86_64 | WARNING | Mar 08 2025 |
R-4.5-mac-aarch64 | WARNING | Mar 08 2025 |
R-4.5-linux-x86_64 | WARNING | Mar 08 2025 |
R-4.4-win-x86_64 | WARNING | Mar 08 2025 |
R-4.4-mac-x86_64 | WARNING | Mar 08 2025 |
R-4.4-mac-aarch64 | WARNING | Mar 08 2025 |
R-4.4-linux-x86_64 | WARNING | Mar 08 2025 |
R-4.3-win-x86_64 | WARNING | Mar 08 2025 |
R-4.3-mac-x86_64 | WARNING | Mar 08 2025 |
R-4.3-mac-aarch64 | WARNING | Mar 08 2025 |
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 |