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 |
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