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.
| Version: | 1.2.1 |
| Depends: | R (≥ 3.1.0), glasso, Rmixmod, parallel, base |
| Imports: | Rcpp (≥ 0.11.1), methods |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2017-10-16 |
| Author: | Mohammed Sedki, Gilles Celeux, Cathy Maugis-Rabusseau |
| Maintainer: | Mohammed Sedki <mohammed.sedki at u-psud.fr> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| CRAN checks: | SelvarMix results |
| Reference manual: | SelvarMix.pdf |
| Package source: | SelvarMix_1.2.1.tar.gz |
| Windows binaries: | r-devel: SelvarMix_1.2.1.zip, r-release: SelvarMix_1.2.1.zip, r-oldrel: SelvarMix_1.2.1.zip |
| macOS binaries: | r-release: SelvarMix_1.2.1.tgz, r-oldrel: SelvarMix_1.2.1.tgz |
| Old sources: | SelvarMix archive |
Please use the canonical form https://CRAN.R-project.org/package=SelvarMix to link to this page.