gglasso

1.6

Group Lasso Penalized Learning Using a Unified BMD Algorithm

12packages depend

23.5Kdownloads / year

80.2%test coverage

13/13checks pass

Overview

About

Maintained by Yi YangFirst published 2012-04-308 releasesCRAN page ↗GitHub ↗

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.

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).

Health

CRAN checks

13OK

Slowest check: 1.8 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.07

80.2%

Coverage · measured lines

100%

Documentation · exports

Dependencies · direct

Check history

OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 23 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 88%
Return-value docs: 100%
References docs: 100%

Downloads

23.5K

CRAN downloads in the past year

Rank #3,478 · ~64/day · ~2K/mo

Releases R versions

Daily download trend is not available in this view yet.

94930 days

3.3K90 days

23.5K1 year

Compare downloads with other packages →

Also on501 r2u31 autocran5.1K conda_forge23 c2d4u

Repository

GitHub ↗ archer-yang-lab/gglasso

10Stars

5Forks

6Open issues

0Open PRs

0Releases

79Commits

3Contributors

License GPL-2.0 · 79 commits · Last activity 2020-03-16

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/archer-yang-lab/gglasso on 2026-07-19.

Continuous integration (1)

Travis CI

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (1)

methods

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

12direct

0indirect

PIE ICBioMark MLGL PhylogeneticEM changepoints dfr fdaSP hierNest sgs sharp sparsegl tidyfit

Code & Tests

Code Composition

Fortran 1,877 (44%)R 1,493 (35%)Rd 846 (20%)C 10 (0%)

Code characteristics

Object systems

S37

Cyclomatic complexity: 3.0 median / 20 max
Test cases: 4 / 0.07 per code line

Test coverage

Line coverage

80%

Expression

80.7%

Tests / Examples

80.2% / 41% ex

Functions

38 6 exported

Complexity

3.7 avg / 20 max

Call network

38 nodes / 24 edges

Call graph

Open call graph →

Loading call graph…

Lowest coverage

38 functions

Function	Cyclo	Coverage
coef.cv.gglasso	3	0%
coef.gglasso	3	0%
dhsvm	3	0%
dsqsvm	1	0%
error.bars	1	0%
hubercls	5	0%

People & History

People (3)

Maintainer (1)

Yi Yang

Author, Maintainer

Authors (3)

Yi Yang

Author, Maintainer

Sahir Bhatnagar

Author · added in 1.5

Hui Zou

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.6Latest
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
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
2020-03-18 · diff ↗
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
1.4
2017-09-15 · diff ↗
unarchivedReturned to CRAN
2017-09-15
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 events

R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
1.3
2014-08-17 · diff ↗
1.2
2014-06-01 · diff ↗
R
R 3.1.0 released · 2014-04-10
R
R 3.0.0 released · 2013-04-03
1.1
2013-02-24 · diff ↗
1.0
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
Installed size: not tracked yet
With dependencies: not tracked yet

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