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 <[email protected]>
Date of publication2017-04-09 21:25:51 UTC
MaintainerRuoqing Zhu <[email protected]>
LicenseGPL (>= 2)
Version3.1.0
URL https://sites.google.com/site/teazrq/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RLT")

Try the RLT package in your browser

Any scripts or data that you put into this service are public.

RLT documentation built on May 30, 2017, 7:11 a.m.