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) <doi:10.1080/01621459.2015.1036994>, subject weight, variable weight, tracking subjects used in each tree, etc.

Getting started

Package details

AuthorRuoqing Zhu [aut, cre, cph] (<https://orcid.org/0000-0002-0753-5716>)
MaintainerRuoqing Zhu <teazrq@gmail.com>
LicenseGPL (>= 2)
URL https://cran.r-project.org/package=RLT
Package repositoryView on CRAN
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RLT documentation built on April 28, 2023, 5:08 p.m.