Sparse Gaussian Graphical Modeling with Variable Clustering R package clusterGGM version 0.1.1 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>). Software Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.9), dplyr, parallel, rlang, stats LinkingTo: Rcpp, RcppEigen Suggests: mvtnorm Andreas Alfons <alfons@ese.eur.nl> Comprehensive R Archive Network (CRAN) Daniel J.W. Touw [aut] (ORCID: <https://orcid.org/0000-0003-3074-5401>), Andreas Alfons [aut, cre] (ORCID: <https://orcid.org/0000-0002-2513-3788>), Ines Wilms [aut] (ORCID: <https://orcid.org/0000-0003-3269-4601>), Patrick J.F. Groenen [ths] (ORCID: <https://orcid.org/0000-0001-6683-8971>, PhD advisor of Daniel J.W. Touw) GPL (>= 3) 2025-10-22 application/tgz https://CRAN.R-project.org/package=clusterGGM doi:10.32614/CRAN.package.clusterGGM