RLT
3.2.6Reinforcement Learning Trees
Overview
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.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 4
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 88%
- Return-value docs
- 100%
- Help pages citing references
- 25%
Downloads
Dependencies
Installing RLT adds no packages beyond those that come with R.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 3.2.6Latest
- RR 4.3.0 released · 2023-04-21
- unarchivedReturned to CRAN2023-02-18
- 3.2.5
- archivedRemoved from CRAN2023-02-11issues were not corrected in time
- RR 4.2.0 released · 2022-04-22
- 3.2.42022-01-25 · diff ↗
- 3.2.32021-09-04 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 3.2.22018-08-20 · diff ↗
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2017-04-09
- Total releases
- 8 / 9 yrs
- License
- GPL (>= 2) OSI
- Download size
- 50 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("RLT")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1080/01621459.2015.1036994.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.