RLT: Reinforcement Learning Trees
Version 3.1.0

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.

Getting started

Package details

AuthorRuoqing Zhu <teazrq@gmail.com>
Date of publication2017-04-09 21:25:51 UTC
MaintainerRuoqing Zhu <teazrq@gmail.com>
LicenseGPL (>= 2)
URL https://sites.google.com/site/teazrq/
Package repositoryView on CRAN
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RLT documentation built on May 30, 2017, 7:11 a.m.