LMEntryPaperData        Data From Fruehwirth-Schnatter et al. (2011):
                        "Labor market entry and earnings dynamics:
                        Bayesian inference using mixtures-of-experts
                        Markov chain clustering"
MCCExampleData          A Small MCC/DMC Example Data Set
MCCExtExampleData       An Extended MCC/DMC Example Data Set Including
                        Covariates
MNLAuxMix               Bayesian Multinomial Logit Regression Using
                        Auxiliary Mixture Sampling
bayesMCClust-package    Mixtures-of-Experts Markov Chain Clustering and
                        Dirichlet Multinomial Clustering
calcAllocations         Computes Group Sizes, Group Membership and
                        Individual Posterior Classification
                        Probabilities
calcEntropy             Calculates the Entropy of a Given
                        Classification
calcEquiDist            Calculates (And Plots) the Stationary
                        Distribution (Steady State)
calcLongRunDist         Calculates And Plots the Long-Run Distribution
                        Over the Categories of the Outcome Variable
                        After Certain Periods.
calcMSCrit              Calculates Model Selection Criteria For Several
                        (Independent) MCMC Runs And Various Numbers H
                        of Clusters
calcNumEff              Calculates Inefficiency Factors of the MCMC
                        Draws Obtained for the Cluster-Specific
                        Parameters
calcParMatDMC           Calculates the Posterior Expectation of the
                        Cluster-Specific Parameter Matrices (only for
                        DMC[Ext])
calcRegCoeffs           Calculates Posterior Expectations, Standard
                        Deviations and (Optionally) HPD Intervals for
                        the MNL Regression Coefficients
calcSegmentationPower   Calculates the 'Segmentation Power' of the
                        Specified Classification
calcTransProbs          Calculates the Posterior Expectation and
                        Standard Deviations of the Average
                        Cluster-Specific Transition Matrices
calcVariationDMC        Analyses How Much Unobserved Heterogeneity Is
                        Present in the Various Clusters by Computing
                        the Within-Group Variability of the
                        Cluster-Specific Transition Parameters of DMC
dmClustering            Dirichlet Multinomial Clustering With And
                        Without Mixtures-of-Experts Extension
mcClustering            Markov Chain Clustering With And Without
                        Mixtures-of-Experts Extension
plotLikeliPaths         Plots Paths of Likelihoods And (Prior)
                        Densities
plotScatter             Produces Scatter Plots of MCMC Draws
plotTransProbs          Produces Balloon Plots and LaTeX-Style Tables
                        of the Transition Matrices
plotTypicalMembers      Plots Time Series of 'Typical' Group Members
transformDataToNjki     Transform Markov Chain (Time Series) Data Into
                        Transition Frequency Structure
