RLT

Reinforcement Learning Trees

v3.2.6 · Apr 28, 2023 · GPL (>= 2)

Description

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.

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CRAN Check Status

14 OK

Show all 14 flavors

Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	29.8s
r-devel-linux-x86_64-debian-gcc	OK	25.3s
r-devel-linux-x86_64-fedora-clang	OK	40.6s
r-devel-linux-x86_64-fedora-gcc	OK	46.7s
r-devel-macos-arm64	OK	12s
r-devel-windows-x86_64	OK	63s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	30s
r-oldrel-windows-x86_64	OK	65s
r-patched-linux-x86_64	OK	28.3s
r-release-linux-x86_64	OK	27.8s
r-release-macos-arm64	OK
r-release-macos-x86_64	OK	38s
r-release-windows-x86_64	OK	62s

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Version History

new 3.2.6 Mar 10, 2026

updated 3.2.6 ← 3.2.5 diff Apr 27, 2023

updated 3.2.5 ← 3.2.4 diff Feb 17, 2023

updated 3.2.4 ← 3.2.3 diff Jan 24, 2022

updated 3.2.3 ← 3.2.2 diff Sep 3, 2021

updated 3.2.2 ← 3.2.1 diff Aug 19, 2018

updated 3.2.1 ← 3.2.0 diff Nov 18, 2017

updated 3.2.0 ← 3.1.0 diff Nov 16, 2017

new 3.1.0 Apr 8, 2017