NEWS

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VarSelLCM 2.1.2 (2018-06-20)

• Correction of English typos
• Plot function has default arguments
• Extraction functions predict(), coef(), fitted(), AIC(), BIC() and MICL() are added.
• print() and summary() methods have been modified.

VarSelLCM 2.1.1 (2018-04-12)

• ICL can be used if there is no variable selection
• Input data can be stored in a matrix (then, Gaussian mixture is considered)
• Bug fixed: AIC is now computed if only one component is considered
• Reference to Journal of Classification for Marbac, M. and Patin, E. and Sedki, M. (2018)

VarSelLCM 2.1

• Interface Shiny is available to analyze the clustering results (use function VarSelShiny on the clustering output).
• 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).
• Modification of the plot functions (ggplot2).
• Imputation fonction permits the imputation of missing values based on the model parameters (use function VarSelImputation).

VarSelLCM 2.0 (2017-09-22)

• Mixed-data are allowed (continuous, integer and categorical).
• Missing values can be managed by assuming that values are missing completly at random.
• Model selection can be done with BIC (optimized by a specific EM algorithm).