R Observatory: Metrics for glmgraph version 1.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2021-04-07. Its history is shown below.

Reason: check problems were not corrected in time. Use of uninitialised memory detected by valgrind

Details below reflect version 1.0.3, its last release before removal.

glmgraph

1.0.3

Graph-Constrained Regularization for Sparse Generalized Linear Models

1packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Li Chen3 releasesCRAN page ↗

We propose to use sparse regression model to achieve variable selection while accounting for graph-constraints among coefficients. Different linear combination of a sparsity penalty(L1) and a smoothness(MCP) penalty has been used, which induces both sparsity of the solution and certain smoothness on the linear coefficients.

Install

R (source archive)openSUSE (OBS)

url <- "https://cran.r-project.org/src/contrib/Archive/glmgraph/glmgraph_1.0.3.tar.gz"
pkgFile <- "glmgraph_1.0.3.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 (1.0.3) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

# 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-glmgraph

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

1

Dependencies · direct

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 94%
Return-value docs: 100%
References docs: 100%

Downloads

glmgraph Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on14 autocran

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (1)

Rcpp

Imports (0)

none

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

–indirect (not tracked)

ivgls

Code & Tests

People & History

People (2)

Other (2)

Li Chen

Contributor

Jun Chen

Contributor

Package Timeline

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

R
R 4.1.0 released · 2021-05-18
archivedRemoved from CRAN
2021-04-07
check problems were not corrected in time Use of uninitialised memory detected by valgrind
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
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
1.0.3
2015-07-19 · diff ↗
R
R 3.2.0 released · 2015-04-16
1.0.1
2015-03-24 · diff ↗
1.0.0
2015-03-14
R
R 3.1.0 released · 2014-04-10

Package metadata

Total releases: 3
License: GPL-2 OSI
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("glmgraph")

Format

Chen, L., & Chen, J. (n.d.). glmgraph: Graph-Constrained Regularization for Sparse Generalized Linear Models (Version 1.0.3) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=glmgraph

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 glmgraph version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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