RLT (3.2.2)

0 users

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), subject weight, variable weight, tracking subjects used in each tree, etc.

Maintainer: Ruoqing Zhu
Author(s): Ruoqing Zhu <teazrq@gmail.com>

License: GPL (>= 2)

Uses: randomForest, survival

Released about 1 year ago.

3 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of RLT yet. Want to be the first? Write one now.

Related packages: BayesTree, ElemStatLearn, GAMBoost, ROCR, RXshrink, arules, caret, e1071, earth, effects, elasticnet, gbm, glmpath, grplasso, ipred, kernlab, klaR, lars, lasso2, maptree(20 best matches, based on common tags.)

Search for RLT on google, google scholar, r-help, r-devel.

Visit RLT on R Graphical Manual.