Mixtures-of-Experts Markov Chain Clustering and Dirichlet Multinomial Clustering

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Documentation for package ‘bayesMCClust’ version 1.0

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bayesMCClust-package Mixtures-of-Experts Markov Chain Clustering and Dirichlet Multinomial Clustering
bayesMCClust Mixtures-of-Experts Markov Chain Clustering and Dirichlet Multinomial Clustering
calcAllocations Computes Group Sizes, Group Membership and Individual Posterior Classification Probabilities
calcAllocationsDMC Computes Group Sizes, Group Membership and Individual Posterior Classification Probabilities
calcAllocationsDMCExt Computes Group Sizes, Group Membership and Individual Posterior Classification Probabilities
calcAllocationsMCC Computes Group Sizes, Group Membership and Individual Posterior Classification Probabilities
calcAllocationsMCCExt Computes Group Sizes, Group Membership and Individual Posterior Classification Probabilities
calcAllocationsMNL 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
calcMSCritDMC Calculates Model Selection Criteria For Several (Independent) MCMC Runs And Various Numbers H of Clusters
calcMSCritDMCExt Calculates Model Selection Criteria For Several (Independent) MCMC Runs And Various Numbers H of Clusters
calcMSCritMCC Calculates Model Selection Criteria For Several (Independent) MCMC Runs And Various Numbers H of Clusters
calcMSCritMCCExt 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
dataFrameToNjki Transform Markov Chain (Time Series) Data Into Transition Frequency Structure
dataListToNjki Transform Markov Chain (Time Series) Data Into Transition Frequency Structure
dmClust Dirichlet Multinomial Clustering With And Without Mixtures-of-Experts Extension
dmClustering Dirichlet Multinomial Clustering With And Without Mixtures-of-Experts Extension
dmClustExtended Dirichlet Multinomial Clustering With And Without Mixtures-of-Experts Extension
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
mcClust Markov Chain Clustering With And Without Mixtures-of-Experts Extension
mcClustering Markov Chain Clustering With And Without Mixtures-of-Experts Extension
mcClustExtended Markov Chain Clustering With And Without Mixtures-of-Experts Extension
MNLAuxMix Bayesian Multinomial Logit Regression Using Auxiliary Mixture Sampling
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