==-methods              Methods for Function '=='
ClustMMDD-package       'ClustMMDD' : Clustering by Mixture Models for
                        Discrete Data.
EmOptions               Display the current Expectation and
                        Maximization options.
Num                     Functions and Objects created by Rcpp Modules
                        Example
[-methods               Get a slot from 'modelKS'.
[<--methods             Get or set a slot from 'modelKS'.
backward.explorer       Gather a set of the most competitive models.
cutEachCol              Retrieve data from strings in the dataset.
dataR2C                 Transform a (normal) data frame to be
                        compatible with 'ClustMMDD' main functions
dimJump.R               Data driven calibration of the penalty function
em.cluster.R            Compute estimates of the parameters by
                        Expectation and Maximization algorithm.
exModelKS               An example of 'modelKS'.
genotype1               'genotype1' is a data frame of genotype data
                        with 'ploidy = 2.'
genotype2               A genotype data frame compatible with
                        'ClustMMDD' main functions.
genotype2_ExploredModels
                        A data frame of competing models gathered by
                        'backward.explorer'.
is.element-methods      Check if a 'modelKS' object is in a set of such
                        objects.
is.modelKS-methods      Is an object from class 'modelKS'?
isInFile.R              Find a model in a file.
model-methods           Retrieve a list of model <=ft(K,S\right) from a
                        'modelKS' object.
model.selection.R       Selection of both the number K of clusters and
                        the subset S of clustering variables.
modelKS-class           'modelKS' is a class of parameters of (K, S)
                        model.
read.modelKS-methods    Read the parameters of a model <=ft(K,S\right)
                        from a file.
read.or.compute         Read a given model from a file or compute the
                        estimates of paramaters if not found.
selectK.R               Selection of the number K of clusters.
setEmOptions            Set Expectation and Maximization options.
setModelKS-methods,list-methods
                        Set an instance of class 'modelKS' from a list.
show-methods            'show' method for an object of class 'modelKS'
simulData-methods       Simulate a dataset from a given set of
                        parameters in an instance of 'modelKS'.
