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gamlr

1.13-9Package record

Gamma Lasso Regression

3packages depend
12.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

The gamma lasso algorithm provides regularization paths corresponding to a range of non-convex cost functions between L0 and L1 norms. As much as possible, usage for this package is analogous to that for the glmnet package (which does the same thing for penalization between L1 and L2 norms). For details see: Taddy (2017 JCGS), 'One-Step Estimator Paths for Concave Regularization', doi:10.48550/arXiv.1308.5623.

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 1.13-9
README· In the repository, left out of the releaseVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
6
Examples that run
100%5 run in a plain check
Exported functions with examples
80%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

12.1K
CRAN downloads in the past year
Rank #4,102 · ~33/day · ~1K/mo
Daily download trend is not available in this view yet.
81230 days
2.2K90 days
12.1K1 year
Compare downloads with other packages →
Also on458 r2u8 autocran165 c2d4u

Repository

23Stars
10Forks
0Open issues
0Open PRs
0Releases
253Commits
12Commit identities
253 commits · Last activity 2026-02-24
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
11
Median days to close, 50 most recently updated closed PRs
6

Stars over time

2024-12-18 · 232026-07-07 · 23
PracticesBeta

Checks run against github.com/taddylab/gamlr 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 gamlr adds no packages beyond those that come with R.

Depends (5)
R >= 2.15Matrixmethodsgraphicsstats
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
parallel
Enhances (0)
none
Reverse dependencies
3direct
2indirect
Depends 2 · Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 0.1
Releases (18)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.13-9Latest
    record
    2026-02-25 · 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
  • 1.13-8
    record
    2023-04-16 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.13-7
    record
    2021-05-07 · diff ↗ ·
    added 2 exports
    naref, doubleML
  • 1.13-6
    record
    2020-06-08 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 1.13-5
    record
    2018-05-13 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.13-4
    record
    2018-02-11 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
Show 17 earlier eventsHide 17 earlier events

Package metadata

First published
2013-03-26
Total releases
18 / 13 yrs
License
GPL-3 OSI
Minimum R
≥ 2.15
Bundled data
1,009 KB / 1 file
Download size
1.0 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("gamlr")

The package provides a citation file, so citation() returns the authors' own entry.

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 gamlr version 1.13-9 [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.

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