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:Ruoqing Zhu [aut, cre, cph], Sarah Formentini [aut], Haowen Zhou [ctb], Tianning Xu [ctb], Zhechao Huang [ctb]

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

Peer review:

Bug tracker:https://github.com/teazrq/rlt/issues

On CRAN:

6 exports 10 stars 2.43 score 49 dependencies 5 mentions 13 scripts 344 downloads

Last updated 9 months agofrom:de8b11f071. Checks:OK: 1 WARNING: 8. Indexed: yes.

Exports:cindexforest.kernelget.one.treeget.surv.bandmytestRLT

Dependencies:base64encBHbslibcachemclicodetoolsdigestdqrngdrevaluatefastmapfontawesomeforeachfsglmnetgluehighrhtmltoolshtmlwidgetsiteratorsjquerylibjsonliteknitrlatticelifecyclemagrittrMASSMatrixmemoisemimemisc3dorthoDrplot3DpracmaR6rappdirsRcppRcppArmadilloRcppEigenrglrlangrmarkdownsassshapesitmosurvivaltinytexxfunyaml