clusterGGM: Sparse Gaussian Graphical Modeling with Variable Clustering

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>).

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.9), dplyr, parallel, rlang, stats
LinkingTo: Rcpp, RcppEigen
Suggests: mvtnorm
Published: 2025-10-22
DOI: 10.32614/CRAN.package.clusterGGM
Author: Daniel J.W. Touw ORCID iD [aut], Andreas Alfons ORCID iD [aut, cre], Ines Wilms ORCID iD [aut], Patrick J.F. Groenen ORCID iD [ths] (PhD advisor of Daniel J.W. Touw)
Maintainer: Andreas Alfons <alfons at ese.eur.nl>
BugReports: https://github.com/aalfons/clusterGGM/issues
License: GPL (≥ 3)
URL: https://github.com/aalfons/clusterGGM
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: clusterGGM results

Documentation:

Reference manual: clusterGGM.html , clusterGGM.pdf

Downloads:

Package source: clusterGGM_0.1.1.tar.gz
Windows binaries: r-devel: clusterGGM_0.1.1.zip, r-release: clusterGGM_0.1.1.zip, r-oldrel: clusterGGM_0.1.1.zip
macOS binaries: r-release (arm64): clusterGGM_0.1.1.tgz, r-oldrel (arm64): clusterGGM_0.1.1.tgz, r-release (x86_64): clusterGGM_0.1.1.tgz, r-oldrel (x86_64): clusterGGM_0.1.1.tgz
Old sources: clusterGGM archive

Linking:

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