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RLT

3.2.6

Reinforcement Learning Trees

0packages depend
8.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 2.1 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 3.2.6
READMEYes · 36 wordsVignettesNoNEWSYes · 0% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
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

8.4K
CRAN downloads in the past year
Rank #3,627 · ~23/day · ~699/mo
Daily download trend is not available in this view yet.
91530 days
2.8K90 days
8.4K1 year
Compare downloads with other packages →
Also on364 r2u7 autocran136 c2d4u

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing RLT adds no packages beyond those that come with R.

Depends (0)
none
Imports (0)
none
LinkingTo (0)
none
Suggests (2)
randomForestsurvival
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 3.1.0 (2017), Copyright holder
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 3.2.6Latest
    record
    2023-04-28 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2023-02-18
  • 3.2.5
    record
    2023-02-18 · diff ↗ ·
    removed 2 exports
    print.RLT, predict.RLT
  • archivedRemoved from CRAN
    2023-02-11
    issues were not corrected in time
  • R
    R 4.2.0 released · 2022-04-22
  • 3.2.4
    record
    2022-01-25 · diff ↗
  • 3.2.3
    record
    2021-09-04 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 3.2.2
    record
    2018-08-20 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
Show 5 earlier eventsHide 5 earlier events
  • 3.2.1
    record
    2017-11-19 · diff ↗
  • 3.2.0
    record
    2017-11-17 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 3.1.0
    record
    2017-04-09
  • R
    R 3.3.0 released · 2016-05-03

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RLT version 3.2.6 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

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.

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