R Observatory: Metrics for lglasso version 2.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

lglasso

2.0.0Package record

Graphical Lasso for Longitudinal Data

0packages depend

2.6Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Jie ZhouCRAN page ↗GitHub ↗

Estimate treatment-specific precision matrices (networks) from longitudinal high-dimensional normal data. The corresponding random effects are also estimated. It is motivated by the analysis of omics data in clinical trials where the longitudinal omics data becomes increasingly common. It includes both one-stage models (without treatment) and two-stage models (with one treatment). For details of the algorithms, please check the materials on its GitHub repo. If you have any questions, feel free to contact the maintainers through the email below.

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. 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-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). 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: 55 s · 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 2.0.0

README· In the repository, left out of the releaseVignettesNoNEWSNoCitation fileNo

Help pages: 3 (1 internal)
Examples that run: 0%1 never run
Exported functions with examples: 50%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #16,876 · ~7/day · ~220/mo

Releases R versions

Daily download trend is not available in this view yet.

37230 days

74990 days

2.6K1 year

Compare downloads with other packages →

Also on73 r2u2 autocran

How downloads are counted

Repository

jiezhou-2/lglasso ↗Account: jiezhou-2

1Stars

0Forks

1Open issues

0Open PRs

1Releases

194Commits

2Commit identities

License file reads as GPL-3.0 · 194 commits · Last activity 2026-10-07 · Default branch at 2.1.0, ahead of CRAN 2.0.0 (checked 2026-10-21) · Discussions: 4 posts

Responsiveness

not measured

Stars over time

2024-10-18 · 12026-07-07 · 1

How these are measured

PracticesBeta

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

Checks run against github.com/jiezhou-2/lglasso on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (2)

README.Rmd

GitHub Pages site last deployed 2026-10-07

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing lglasso adds 26 packages (20 with compiled code, 24 MB of source tarballs). Heaviest: clarabel 5.7 MB, igraph 4.8 MB, Rcpp 1.8 MB.

Depends (1)

R >= 3.5

Imports (5)

CVXR glassoMASSfakestats

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (4)

Author

Author

Author

Releases (2)

Pick two releases to compare their code metrics.

2.0.0Latest
record
2026-09-24 · current release · diff ↗ ·
removed 1 export
mle

added 1 export
Simulate
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
0.1.0
record
2022-01-15
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-01-15
Total releases: 2 / 4 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5
Bundled data: 0.1 KB / 1 file
Download size: 35 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lglasso")

Format

Zhou, J., Gui, J., Hoen, A., & Viles, W. (2026). lglasso: Graphical Lasso for Longitudinal Data (Version 2.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.lglasso

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 lglasso version 2.0.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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