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 
[aut],
Andreas Alfons
[aut, cre],
Ines Wilms [aut],
Patrick J.F. Groenen
[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:
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