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SelvarMix  

Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
View on CRAN: Click here


Download and install SelvarMix package within the R console
Install from CRAN:
install.packages("SelvarMix")

Install from Github:
library("remotes")
install_github("cran/SelvarMix")

Install by package version:
library("remotes")
install_version("SelvarMix", "1.2.1")



Attach the package and use:
library("SelvarMix")
Maintained by
Mohammed Sedki
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-27
Latest Update: 2022-12-05
Description:
Performs a regularization approach to variable selection in themodel-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 2011doi10.1016j.csda.2009.04.013 doi10.1016j.jmva.2011.05.004is adapted to define the role of variables in the two frameworks.
How to cite:
Mohammed Sedki (2014). SelvarMix: Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis. R package version 1.2.1, https://cran.r-project.org/web/packages/SelvarMix. Accessed 30 Jan. 2025.
Previous versions and publish date:
1.0 (2014-08-27 11:13), 1.1 (2015-09-20 22:51), 1.2.1 (2017-10-16 18:18), 1.2 (2016-11-07 17:22)
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