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RMSS

1.2.4

Robust Multi-Model Subset Selection

0packages depend
2.9Kdownloads / year
0.0%test coverage
13/13checks pass

Overview

About
Maintained by Anthony ChristidisFirst published 2023-06-119 releasesCRAN page ↗

Efficient algorithms for generating ensembles of robust, sparse and diverse models via robust multi-model subset selection (RMSS). The robust ensembles are generated by minimizing the sum of the least trimmed square loss of the models in the ensembles under constraints for the size of the models and the sharing of the predictors. Tuning parameters for the robustness, sparsity and diversity of the robust ensemble are selected by cross-validation.

Install

Health

CRAN checks
13OK
Slowest check: 4.7 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.06
0.0%
Coverage · measured lines
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
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 49 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.9K
CRAN downloads in the past year
Rank #16,217 · ~8/day · ~240/mo
Daily download trend is not available in this view yet.
17030 days
65190 days
2.9K1 year
Compare downloads with other packages →
Also on429 r2u28 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (2)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.4Latest
    2026-03-02 · current release · diff ↗
  • 1.2.3
    2025-12-17 · diff ↗
  • 1.2.2
    2025-09-23 · diff ↗
  • 1.2.1
    2025-08-19 · diff ↗
  • 1.2.0
    2025-07-17 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1.2
    2024-12-20 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.1
    2023-09-14 · diff ↗
  • 1.1.0
    2023-08-17 · diff ↗
  • 1.0.0
    2023-06-11
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-06-11
Total releases
9 / 3 yrs
License
GPL (>= 2) OSI
Download size
61 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RMSS")
Christidis, A., & Cohen-Freue, G. (2026). RMSS: Robust Multi-Model Subset Selection (Version 1.2.4) [Computer software]. https://doi.org/10.32614/CRAN.package.RMSS

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 RMSS version 1.2.4 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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