Package: clustvarsel Version: 2.3.5 Date: 2025-04-02 Title: Variable Selection for Gaussian Model-Based Clustering Description: Variable selection for Gaussian model-based clustering as implemented in the 'mclust' package. The methodology allows to find the (locally) optimal subset of variables in a data set that have group/cluster information. A greedy or headlong search can be used, either in a forward-backward or backward-forward direction, with or without sub-sampling at the hierarchical clustering stage for starting 'mclust' models. By default the algorithm uses a sequential search, but parallelisation is also available. Authors@R: c(person("Nema", "Dean", role = "aut", comment = c(ORCID = "0000-0002-5080-2517")), person("Adrian E.", "Raftery", role = "aut"), person("Luca", "Scrucca", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3826-0484"), email = "luca.scrucca@unibo.it")) Depends: R (>= 3.2), mclust (>= 5.3) Imports: stats, Matrix, BMA (>= 3.18), foreach, iterators Suggests: MASS, parallel, doParallel, knitr (>= 1.12), rmarkdown (>= 0.9) License: GPL (>= 2) VignetteBuilder: knitr ByteCompile: true Encoding: UTF-8 NeedsCompilation: no Packaged: 2026-06-09 07:53:20 UTC; root Author: Nema Dean [aut] (), Adrian E. Raftery [aut], Luca Scrucca [aut, cre] () Maintainer: Luca Scrucca Repository: https://luca-scr.r-universe.dev Date/Publication: 2025-04-02 10:30:02 UTC RemoteUrl: https://github.com/cran/clustvarsel RemoteRef: HEAD RemoteSha: 86390d0790f740fbb8535baa25eec048577ce425