RLT: 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.

Getting started

Package details

AuthorRuoqing Zhu <[email protected]>
MaintainerRuoqing Zhu <[email protected]>
LicenseGPL (>= 2)
Version3.2.2
URL https://cran.r-project.org/package=RLT
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RLT")

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RLT documentation built on Aug. 21, 2018, 1:03 a.m.