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 Description: Full model selection (detection of the relevant features and estimation of the number of clusters) for model-based clustering (see reference here ). 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: 2026-06-23 18:01:55 UTC; root RoxygenNote: 7.3.2 NeedsCompilation: yes 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 Config/pak/sysreqs: cmake make libuv1-dev zlib1g-dev Repository: https://r-forge.r-universe.dev Date/Publication: 2025-09-19 08:22:10 UTC RemoteUrl: https://github.com/r-forge/varsellcm RemoteRef: HEAD RemoteSha: 485906166c2a631e8e7989aeaf4fda9b11eb8af1 RemoteSubdir: pkg Author: Matthieu Marbac [aut], Mohammed Sedki [aut, cre]