Skip to content

fastcox

1.1.4Package record

Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm

0packages depend
7.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

We implement a cocktail algorithm, a good mixture of coordinate decent, the majorization-minimization principle and the strong rule, for computing the solution paths of the elastic net penalized Cox's proportional hazards model. The package is an implementation of Yang, Y. and Zou, H. (2013) doi:10.4310/SII.2013.v6.n2.a1.

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.4
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
8includes a package overview page
Examples that run
100%7 run in a plain check
Exported functions with examples
100%
Documented parameters
91%
Return-value docs
100%
Help pages citing references
100%

Downloads

7.6K
CRAN downloads in the past year
Rank #6,454 · ~21/day · ~634/mo
Daily download trend is not available in this view yet.
41730 days
1.3K90 days
7.6K1 year
Compare downloads with other packages →
Also on369 r2u8 autocran136 c2d4u

Repository

0Stars
1Forks
0Open issues
0Open PRs
0Releases
25Commits
1Commit identities
License file reads as GPL-2.0 · 25 commits · Last activity 2017-09-15 · The default branch showed an older version (1.1.3) than CRAN on 2026-10-25
Responsiveness
not measured

Forks over time

2026-04-19 · 12026-07-07 · 1
PracticesBeta

Checks run against github.com/archer-yang-lab/fastcox on 2026-10-25.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

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

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

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0.0 (2011)
http://www.math.mcgill.ca/yyang/
Author
http://users.stat.umn.edu/~zouxx019/
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.4Latest
    record
    2025-05-06 · current release · 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
  • R
    R 4.2.0 released · 2022-04-22
  • 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
  • R
    R 3.5.0 released · 2018-04-23
  • unarchivedReturned to CRAN
    2017-09-15
  • 1.1.3
    record
    2017-09-15 · diff ↗
  • archivedRemoved from CRAN
    2017-04-24
    check errors were not corrected despite reminders
  • 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
Show 8 earlier eventsHide 8 earlier events
  • R
    R 3.1.0 released · 2014-04-10
  • 1.1.1
    record
    2013-10-24 · diff ↗
  • 1.1.0
    record
    2013-10-22 · diff ↗ ·
    added 2 exports
    cv.cocktail, cv.survpath
  • R
    R 3.0.0 released · 2013-04-03
  • 1.0.1
    record
    2012-08-04 · diff ↗
  • R
    R 2.15.0 released · 2012-03-30
  • 1.0.0
    record
    2012-03-26
  • R
    R 2.14.0 released · 2011-10-31

Package metadata

First published
2012-03-26
Total releases
6 / 14 yrs
License
GPL-2 OSI
Bundled data
38 KB / 1 file
Download size
67 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fastcox")
Yang, Y., & Zou, H. (2025). fastcox: Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm (Version 1.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.fastcox

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 fastcox version 1.1.4 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy