clustvarsel: Variable Selection for Gaussian Model-Based Clustering

An R package implementing variable selection methodology for Gaussian model-based clustering which 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.

Install the latest version of this package by entering the following in R:
install.packages("clustvarsel")
AuthorNema Dean [aut], Adrian E. Raftery [aut], Luca Scrucca [aut, cre]
Date of publication2017-02-24 16:46:51
MaintainerLuca Scrucca <luca.scrucca@unipg.it>
LicenseGPL (>= 2)
Version2.3

View on CRAN

Functions

BICreg Man page
clustvarsel Man page
clvarselgrbkw Man page
clvarselgrfwd Man page
clvarselhlbkw Man page
clvarselhlfwd Man page
print.clustvarsel Man page
startParallel Man page

Files

inst
inst/CITATION
inst/NEWS
inst/doc
inst/doc/clustvarsel.html
inst/doc/clustvarsel.Rmd
inst/doc/clustvarsel.R
NAMESPACE
R
R/clvarselgrfwd.R R/clvarselgrbkw.R R/bicreg.R R/startParallel.R R/clvarselhlbkw.R R/clustvarsel.R R/clvarselhlfwd.R R/zzz.R
vignettes
vignettes/clustvarsel.Rmd
MD5
build
build/vignette.rds
DESCRIPTION
man
man/clustvarsel-internal.Rd man/clustvarsel.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.