R Observatory: Metrics for JGL version 2.3.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2025-07-17. Its history is shown below.

Reason: issues were not corrected despite reminder

Details below reflect version 2.3.2, its last release before removal.

JGL

2.3.2Package record

Performs the Joint Graphical Lasso for Sparse Inverse Covariance Estimation on Multiple Classes

0packages dependsuggested by 1

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Patrick DanaherCRAN page ↗

The Joint Graphical Lasso is a generalized method for estimating Gaussian graphical models/ sparse inverse covariance matrices/ biological networks on multiple classes of data. We solve JGL under two penalty functions: The Fused Graphical Lasso (FGL), which employs a fused penalty to encourage inverse covariance matrices to be similar across classes, and the Group Graphical Lasso (GGL), which encourages similar network structure between classes. FGL is recommended over GGL for most applications. Reference: Danaher P, Wang P, Witten DM. (2013) doi:10.1111/rssb.12033.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/JGL/JGL_2.3.2.tar.gz"
pkgFile <- "JGL_2.3.2.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (2.3.2) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.3.2

READMEYes · 60 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 13 (1 internal)includes a package overview page
Examples that run: 100%10 run in a plain check
Exported functions with examples: 89%
Documented parameters: 100%
Return-value docs: 89%
Help pages citing references: 85%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on47 r2u6 autocran

How downloads are counted

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Depends (1)

igraph

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Suggested by 1

Suggests, most downloaded first

EstimateGroupNetwork

How these are counted

Code & Tests

Datasets

People & History

People (1)

Patrick Danaher

Contributor

Maintainer since 2.1 (2012)

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2025-07-17
issues were not corrected despite reminder
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
2.3.2
record
2023-12-19 · 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
R
R 3.6.0 released · 2019-04-26
2.3.1
record
2018-11-30 · diff ↗
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
R
R 3.1.0 released · 2014-04-10

Show 5 earlier eventsHide 5 earlier events

R
R 3.0.0 released · 2013-04-03
2.3
record
2012-07-20 · diff ↗
2.2
record
2012-07-20 · diff ↗
2.1
record
2012-07-20
R
R 2.15.0 released · 2012-03-30

Package metadata

First published: 2012-07-20
Total releases: 5 / 14 yrs
License: MIT + file LICENSE OSI · relicensed from GPL-2 in 2.3.2
Bundled data: 302 KB / 1 file

Appears in task views

Graphical Models

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("JGL")

Format

Danaher, P. (n.d.). JGL: Performs the Joint Graphical Lasso for Sparse Inverse Covariance Estimation on Multiple Classes (Version 2.3.2) [Computer software]. Retrieved October 20, 2026, from https://CRAN.R-project.org/package=JGL

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 JGL version 2.3.2 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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