R Observatory: Metrics for gglasso version 1.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

gglasso

1.6Package record

Group Lasso Penalized Learning Using a Unified BMD Algorithm

5packages dependsuggested by 6

17.1Kdownloads / year

80.2%test coverage

13/13flavors OK

Overview

About

Maintained by Yi YangCRAN page ↗GitHub ↗Issues ↗

A unified algorithm, blockwise-majorization-descent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM. The package is an implementation of Yang, Y. and Zou, H. (2015) doi:10.1007/s11222-014-9498-5.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("gglasso", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("archer-yang-lab/gglasso")

Development version from archer-yang-lab/gglasso. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-gglasso

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-gglasso

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-gglasso

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

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

How this is measured·How advisories are found

Documentation

In release 1.6

READMEYes · 23 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 11
Examples that run: 100%11 run in a plain check
Exported functions with examples: 100%
Documented parameters: 88%
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

17.1K

CRAN downloads in the past year

Rank #3,523 · ~47/day · ~1.4K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.1K30 days

3K90 days

17.1K1 year

Compare downloads with other packages →

Also on477 r2u5 autocran4.9K conda_forge41 c2d4u

How downloads are counted

Repository

archer-yang-lab/gglasso ↗Account: archer-yang-lab

10Stars

5Forks

6Open issues

0Open PRs

0Releases

79Commits

3Commit identities

License file reads as GPL-2.0 · 79 commits · Last activity 2020-02-17 · The default branch showed an older version (1.4) than CRAN on 2026-10-22

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 655
Median days to close, 50 most recently updated closed PRs: 0

How these are measured

PracticesBeta

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

Checks run against github.com/archer-yang-lab/gglasso on 2026-10-22.

Continuous integration (1)

Travis CI (config file)

Docs source (1)

pkgdown

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

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

Depends (0)

none

Imports (1)

methods

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

5direct

0indirect

Depends 1 · Imports 4

Suggested by 6

Depends, Imports or LinkingTo, most downloaded first

PhylogeneticEM changepoints MLGL ICBioMark PIE

Suggests, most downloaded first

sparsegl sharp sgs hierNest dfr fdaSP

How these are counted

Code & Tests

Datasets

People & History

People (3)

Yi Yang

Author, Maintainer since 1.0 (2012)

http://www.math.mcgill.ca/yyang/

Sahir Bhatnagar

Author · added in 1.5

http://sahirbhatnagar.com/

Hui Zou

Author

http://users.stat.umn.edu/~zouxx019/

Releases (8)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.6Latest
record
2025-05-08 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.5.1
record
2024-03-24 · diff ↗
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
1.5
record
2020-03-18 · diff ↗ ·
removed 2 exports
predict.gglasso, coef.gglasso
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
unarchivedReturned to CRAN
2017-09-15
1.4
record
2017-09-15 · diff ↗
archivedRemoved from CRAN
2017-09-11
check problems were not corrected despite reminders
R
R 3.4.0 released · 2017-04-21

Show 9 earlier eventsHide 9 earlier events

R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
1.3
record
2014-08-17 · diff ↗
1.2
record
2014-06-01 · diff ↗
R
R 3.1.0 released · 2014-04-10
R
R 3.0.0 released · 2013-04-03
1.1
record
2013-02-24 · diff ↗
1.0
record
2012-04-30
R
R 2.15.0 released · 2012-03-30

Package metadata

First published: 2012-04-30
Total releases: 8 / 14 yrs
License: GPL-2 OSI
Bundled data: 103 KB / 2 files
Download size: 140 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gglasso")

Format

Yang, Y., Bhatnagar, S., & Zou, H. (2025). gglasso: Group Lasso Penalized Learning Using a Unified BMD Algorithm (Version 1.6) [Computer software]. https://doi.org/10.32614/CRAN.package.gglasso

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for gglasso version 1.6 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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