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
Repository: CRAN
ByteCompile: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-02 09:42:27 UTC; luca
Author: Nema Dean [aut] (<https://orcid.org/0000-0002-5080-2517>),
  Adrian E. Raftery [aut],
  Luca Scrucca [aut, cre] (<https://orcid.org/0000-0003-3826-0484>)
Maintainer: Luca Scrucca <luca.scrucca@unibo.it>
Date/Publication: 2025-04-02 10:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 03:06:58 UTC; unix
