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c060

0.5-0

Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models

2packages depend
5.2Kdownloads / year
21.9%test coverage
13/13checks pass

Overview

About
Maintained by Frederic BertrandFirst published 2013-04-1612 releasesCRAN page ↗GitHub ↗

The c060 package provides additional functions to perform stability selection, model validation and parameter tuning for glmnet models.

Install

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.13
21.9%
Coverage · measured lines
100%
Documentation · exports
11
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 140 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
14%
Documented parameters
99%
Return-value docs
91%
References docs
94%

Downloads

5.2K
CRAN downloads in the past year
Rank #10,682 · ~14/day · ~434/mo
Daily download trend is not available in this view yet.
22530 days
91290 days
5.2K1 year
Compare downloads with other packages →
Also on139 r2u20 autocran

Repository

Repository
3Stars
0Forks
0Open issues
0Open PRs
2Releases
12Commits
1Contributors
License GPL-3.0 · 12 commits · Last activity 2026-03-24

Stars over time

2023-11-22 · 32026-07-07 · 3

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/fbertran/c060 on 2026-08-16.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (11)
glmnetsurvivalparallelmlegptgppamrpeperrpenalizedpenalizedSVMlatticemethods
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
2direct
0indirect

Code & Tests

People & History

People (5)
Maintainer (1)
Maintainer · added in 0.3-1
Authors (4)
Author · added in 0.4-0
Listed in earlier versions (1)
no longer listed · 0.2 to 0.3-1
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.5-0Latest
    2026-03-25 · current release · diff ↗
  • 0.4-0
    2025-09-19 · diff ↗
  • 0.3-1
    2025-08-18 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.3-0
    2023-03-23 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2-9
    2022-03-03 · diff ↗
  • 0.2-8
    2021-10-06 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.2-7
    2021-03-16 · diff ↗
  • 0.2-6
    2021-03-01 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.2-5
    2019-11-29 · diff ↗
Show 10 earlier events
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 0.2-4
    2014-12-11 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 0.2-3
    2014-01-22 · diff ↗
  • 0.2
    2013-04-16
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2013-04-16
Total releases
12 / 13 yrs
License
GPL-2 OSI
Download size
352 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("c060")
Bertrand, F., Becker, N., Hielscher, T., Sill, M., & Zucknick, M. (2026). c060: Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models (Version 0.5-0) [Computer software]. https://doi.org/10.32614/CRAN.package.c060

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 c060 version 0.5-0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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