Package: VarSelLCM
Type: Package
Title: Variable Selection for Model-Based Clustering of Mixed-Type Data
        Set with Missing Values
Version: 2.1.3.1
Date: 2018-08-27
Author: Matthieu Marbac and Mohammed Sedki
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
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: 2020-10-14 15:20:36 UTC; hornik
RoxygenNote: 6.0.1
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2020-10-14 16:34:36 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
Built: R 4.4.0; x86_64-apple-darwin22.6.0; 2024-05-11 04:43:22 UTC; unix
