Version 2.1.1 (2018-03)
o ICL can be used if there is no variable selection
o Input data can be stored in a matrix (then, Gaussian mixture is considered)
o Bug fixed: AIC is now computed if only one component is considered
o Reference to Journal of Classification for Marbac, M. and Patin, E. and Sedki, M. (2018)
Version 2.1 (2018-03)
o Interface Shiny is available to analyze the clustering results (use function VarSelShiny on the clustering output).
o Modification of the class returned by the clustering function (results obtained by old version of VarSelLCM need to be convert by using the function VarSelConvert).
o Modification of the plot functions (ggplot2).
o Imputation fonction permits the imputation of missing values based on the model parameters (use function VarSelImputation).
Version 2.0 (2017-10)
o Mixed-data are allowed (continuous, integer and categorical).
o Missing values can be managed by assuming that values are missing completly at random.
o Model selection can be done with BIC (optimized by a specific EM algorithm).