SelvarMix: Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis

Performs a regularization approach to variable selection in the model-based clustering and classification frameworks. First, the variables are arranged in order with a lasso-like procedure. Second, the method of Maugis, Celeux, and Martin-Magniette (2009, 2011) <doi:10.1016/j.csda.2009.04.013>, <doi:10.1016/j.jmva.2011.05.004> is adapted to define the role of variables in the two frameworks.

Install the latest version of this package by entering the following in R:
install.packages("SelvarMix")
AuthorMohammed Sedki, Gilles Celeux, Cathy Maugis-Rabusseau
Date of publication2016-11-07 17:22:08
MaintainerMohammed Sedki <mohammed.sedki@u-psud.fr>
LicenseGPL (>= 3)
Version1.2

View on CRAN

Files

inst
inst/include
inst/include/vect.hpp
inst/include/critClust.hpp
inst/include/selectRegGen.hpp
inst/include/select.hpp
inst/include/selectReg.hpp
inst/include/Function.h
inst/include/discriminant.h
inst/include/Mixture.h
src
src/Makevars
src/Function.cpp
src/rcppClusteringEMGlasso.cpp
src/select.cpp
src/selectReg.cpp
src/rcppDiscriminantAnalysisGlasso.cpp
src/vect.cpp
src/rcppSelectVar.cpp
src/critClust.cpp
src/selectRegGen.cpp
src/Makevars.win
src/RcppExports.cpp
NAMESPACE
data
data/wine.rda
R
R/DiscriminantAnalysisGlasso.R R/orderlikL.R R/CheckInputsC.R R/summary.selvarmix.R R/orderlik.R R/InitParameter.R R/SortvarClust.R R/RcppExports.R R/CheckInputsL.R R/SelvarLearnLasso.R R/ModelSelectionClust.R R/VariableSelection.R R/SelvarClustLasso.R R/SortvarLearn.R R/print.selvarmix.R R/ClusteringEMGlasso.R R/Classes.R
MD5
DESCRIPTION
man
man/wine.Rd man/SortvarClust.Rd man/scenarioCor.Rd man/SelvarClustLasso.Rd man/SortvarLearn.Rd man/SelvarLearnLasso.Rd man/SelvarMix-package.Rd

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