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srlars

3.0.1

Fast and Scalable Cellwise-Robust Ensemble

1packages depend
3.1Kdownloads / year
77.5%test coverage
13/13checks pass

Overview

About
Maintained by Anthony ChristidisFirst published 2023-06-296 releasesCRAN page ↗

Functions to perform robust variable selection and regression using the Fast and Scalable Cellwise-Robust Ensemble (FSCRE) algorithm. The approach establishes a robust foundation using the Detect Deviating Cells (DDC) algorithm and robust correlation estimates. It then employs a competitive ensemble architecture where a robust Least Angle Regression (LARS) engine proposes candidate variables and cross-validation arbitrates their assignment. A final robust MM-estimator is applied to the selected predictors.

Install

Health

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.07
77.5%
Coverage · measured lines
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 50 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

3.1K
CRAN downloads in the past year
Rank #10,608 · ~9/day · ~260/mo
Daily download trend is not available in this view yet.
21430 days
91990 days
3.1K1 year
Compare downloads with other packages →
Also on129 r2u18 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

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

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

  • 3.0.1Latest
    2026-07-02 · current release · diff ↗
  • 3.0.0
    2026-06-12 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 2.0.1
    2026-03-30 · diff ↗
  • 2.0.0
    2026-03-02 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.1
    2023-07-17 · diff ↗
  • 1.0.0
    2023-06-29
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-06-29
Total releases
6 / 3 yrs
License
GPL (>= 2) OSI
Download size
18 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("srlars")
Christidis, A., & Cohen-Freue, G. (2026). srlars: Fast and Scalable Cellwise-Robust Ensemble (Version 3.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.srlars

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 srlars version 3.0.1 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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