RLT (3.1.0)

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Reinforcement Learning Trees.

https://sites.google.com/site/teazrq/
http://cran.r-project.org/web/packages/RLT

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, glmnet, randomForestSRC

Released 4 months ago.


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