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ranktreeEnsemble

0.24

Ensemble Models of Rank-Based Trees with Extracted Decision Rules

0packages depend
5.4Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Min LuFirst published 2023-08-084 releasesCRAN page ↗GitHub ↗

Fast computing an ensemble of rank-based trees via boosting or random forest on binary and multi-class problems. It converts continuous gene expression profiles into ranked gene pairs, for which the variable importance indices are computed and adopted for dimension reduction. Decision rules can be extracted from trees.

Install

Health

CRAN checks
13OK
Slowest check: 3.2 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
22%
Documented parameters
99%
Return-value docs
100%
References docs
89%

Downloads

5.4K
CRAN downloads in the past year
Rank #8,825 · ~15/day · ~452/mo
Daily download trend is not available in this view yet.
22330 days
1K90 days
5.4K1 year
Compare downloads with other packages →
Also on401 r2u25 autocran

Repository

Repository
2Stars
2Forks
0Open issues
0Open PRs
0Releases
20Commits
1Contributors
20 commits · Last activity 2024-05-24 · 0% stars, 30d

Stars over time

2025-05-01 · 12026-07-07 · 2

Repository practices

Upstream repositoryBeta

Checks run against github.com/transbioinfolab/ranktreeensemble on 2026-08-23.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (1)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Author
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.24Latest
    2025-09-14 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.23
    2024-05-24 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.22
    2023-08-18 · diff ↗
  • 0.21
    2023-08-08
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-08-08
Total releases
4 / 3 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
545 KB / 1 file
Download size
566 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ranktreeEnsemble")
Lu, M., Ye, C., & Yin, R. (2025). ranktreeEnsemble: Ensemble Models of Rank-Based Trees with Extracted Decision Rules (Version 0.24) [Computer software]. https://doi.org/10.32614/CRAN.package.ranktreeEnsemble

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 ranktreeEnsemble version 0.24 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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