Sparse Gaussian Graphical Modeling with Variable Clustering
Overview
Perform sparse estimation of a Gaussian graphical model (GGM) with node aggregation through variable clustering. Currently, the package implements the clusterpath estimator of the Gaussian graphical model (CGGM) (Touw, Alfons, Groenen & Wilms, 2025; doi:10.48550/arXiv.2407.00644).
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 10includes a package overview page
- Examples that run
- 89%8 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 90%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 351
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Issues over time
Commits over time
Commit identities over time
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/aalfons/clusterggm on 2026-10-25.
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.1.1Latest
- 0.1.02025-10-17
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-10-17
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 52 KB
Cite
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citation("clusterGGM")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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