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
Author:	Nema Dean [aut], Adrian E. Raftery [aut], Luca Scrucca [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:

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