clustvarsel

Package: clustvarsel
Type: Package
Version: 2.2
Date: 2015-11-19
Title: Variable Selection for Model-Based Clustering
Description: A function which implements variable selection methodology for 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.
Author: Nema Dean, Adrian E. Raftery, and Luca Scrucca
Maintainer: Luca Scrucca <luca@stat.unipg.it>
Depends: R (>= 3.2), mclust (>= 5.1), BMA (>= 3.18), foreach, iterators
Suggests: MASS, parallel, doParallel
License: GPL (>= 2)
Repository: CRAN
ByteCompile: true
LazyLoad: yes
NeedsCompilation: no
Packaged: 2015-11-19 12:29:44 UTC; luca
Date/Publication: 2015-11-19 17:21:28

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'clustvarsel' ...
** package 'clustvarsel' successfully unpacked and MD5 sums checked
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
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** building package indices
** testing if installed package can be loaded
* DONE (clustvarsel)
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