Encoding: UTF-8
Package: VarSelLCM
Type: Package
Title: Variable Selection for Model-Based Clustering of Mixed-Type Data
        Set with Missing Values
Version: 2.1.3.2
Date: 2025-09-19
Authors@R: c(person(given = "Matthieu",
                      family = "Marbac",
                      role = "aut"),
               person(given = "Mohammed",
                      family = "Sedki",
                      role = c("aut", "cre"),
                      email = "mohammed.sedki@u-psud.fr"))
Maintainer: Mohammed Sedki <mohammed.sedki@u-psud.fr>
Description: Full model selection (detection of the relevant features and estimation of the number of clusters) for model-based clustering (see reference here <doi:10.1007/s11222-016-9670-1>). Data to analyze can be continuous, categorical, integer or mixed. Moreover, missing values can occur and do not necessitate any pre-processing. Shiny application permits an easy interpretation of the results.
License: GPL (>= 2)
Depends: R (>= 3.3)
Imports: methods, Rcpp (>= 0.11.1), parallel, mgcv, ggplot2, shiny
URL: http://varsellcm.r-forge.r-project.org/
LinkingTo: Rcpp, RcppArmadillo (>= 15.0.2-1)
ByteCompile: true
LazyLoad: yes
Collate: 'CheckInputs.R' 'data.R' 'model.R' 'param.R' 'results.R'
        'ICLexact.R' 'DesignOutput.R' 'Summary.R' 'Print.R'
        'VarSelLCM.R' 'RcppExports.R' 'Plot.R' 'Imputation.R'
        'withoutmixture.R' 'VarSelShiny.R' 'ARI.R' 'Extractors.R'
        'Predict.R'
Packaged: 2025-09-19 08:02:37 UTC; sedki
RoxygenNote: 7.3.2
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2025-09-19 09:00:02 UTC
Suggests: knitr, rmarkdown, dplyr, htmltools, scales, plyr
VignetteBuilder: knitr
BuildVignettes: yes
Repository/R-Forge/Project: varsellcm
Repository/R-Forge/Revision: 234
Repository/R-Forge/DateTimeStamp: 2018-08-27 18:56:49
Author: Matthieu Marbac [aut],
  Mohammed Sedki [aut, cre]
Built: R 4.4.3; x86_64-w64-mingw32; 2025-12-01 21:09:12 UTC; windows
Archs: x64
