R Observatory: Metrics for lglasso version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

lglasso

0.1.0

Longitudinal Graphical Lasso

0packages depend

2.5Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Jie ZhouFirst published 2022-01-151 releasesCRAN page ↗GitHub ↗

For high-dimensional correlated observations, this package carries out the L_1 penalized maximum likelihood estimation of the precision matrix (network) and the correlation parameters. The correlated data can be longitudinal data (may be irregularly spaced) with dampening correlation or clustered data with uniform correlation. For the details of the algorithms, please see the paper Jie Zhou et al. Identifying Microbial Interaction Networks Based on Irregularly Spaced Longitudinal 16S rRNA sequence data doi:10.1101/2021.11.26.470159.

Install

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

install.packages("lglasso", 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("jiezhou-2/lglasso")

Development version from jiezhou-2/lglasso. 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-lglasso

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-lglasso

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-lglasso

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

Health

CRAN checks

13OK

Slowest check: 47 s · r-release-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

2

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 80 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 8%

Downloads

2.5K

CRAN downloads in the past year

Rank #19,620 · ~7/day · ~209/mo

Releases R versions

Daily download trend is not available in this view yet.

15730 days

55390 days

2.5K1 year

Compare downloads with other packages →

Also on97 r2u4 autocran

Repository

GitHub ↗ jiezhou-2/lglasso

1Stars

0Forks

1Open issues

0Open PRs

0Releases

133Commits

2Contributors

License GPL-3.0 · 133 commits · Last activity 2026-08-06

Stars over time

2024-10-18 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/jiezhou-2/lglasso on 2026-08-03.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

Docs source (1)

README.Rmd

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 (1)

R >= 2.10

Imports (2)

statsglasso

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Jie Zhou

Author, Maintainer, Copyright holder

Authors (4)

Jie Zhou

Author, Maintainer, Copyright holder

Jiang Gui

Author

Anne Hoen

Author

Weston Viles

Author

Copyright holders (1)

Jie Zhou

Author, Maintainer, Copyright holder

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2022-01-15
Total releases: 1 / 4 yrs
License: GPL-3 OSI
Minimum R: ≥ 2.10
Bundled data: 16 KB / 1 file
Download size: 25 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lglasso")

Format

Zhou, J., Gui, J., Hoen, A., & Viles, W. (2022). lglasso: Longitudinal Graphical Lasso (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.lglasso

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 lglasso version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-08. https://doi.org/10.5281/zenodo.21843040

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

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