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clustvarsel: Variable Selection for Gaussian Model-Based Clustering

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.

Version: 2.3.4
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)
Published: 2020-12-16
DOI: 10.32614/CRAN.package.clustvarsel
Author: Nema Dean ORCID iD [aut], Adrian E. Raftery [aut], Luca Scrucca ORCID iD [aut, cre]
Maintainer: Luca Scrucca <luca.scrucca at unipg.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: clustvarsel citation info
Materials: README NEWS
In views: ChemPhys, Cluster
CRAN checks: clustvarsel results

Documentation:

Reference manual: clustvarsel.pdf
Vignettes: A quick tour of clustvarsel

Downloads:

Package source: clustvarsel_2.3.4.tar.gz
Windows binaries: r-devel: clustvarsel_2.3.4.zip, r-release: clustvarsel_2.3.4.zip, r-oldrel: clustvarsel_2.3.4.zip
macOS binaries: r-release (arm64): clustvarsel_2.3.4.tgz, r-oldrel (arm64): clustvarsel_2.3.4.tgz, r-release (x86_64): clustvarsel_2.3.4.tgz, r-oldrel (x86_64): clustvarsel_2.3.4.tgz
Old sources: clustvarsel archive

Reverse dependencies:

Reverse depends: survtype
Reverse suggests: FCPS

Linking:

Please use the canonical form https://CRAN.R-project.org/package=clustvarsel to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.