bayesMCClust: Mixtures-of-Experts Markov Chain Clustering and Dirichlet Multinomial Clustering
Version 1.0

This package provides various Markov Chain Monte Carlo (MCMC) sampler for model-based clustering of discrete-valued time series obtained by observing a categorical variable with several states (in a Bayesian approach). In order to analyze group membership, we provide also an extension to the approaches by formulating a probabilistic model for the latent group indicators within the Bayesian classification rule using a multinomial logit model.

Browse man pages Browse package API and functions Browse package files

AuthorChristoph Pamminger <christoph.pamminger@gmail.com>
Date of publication2012-01-31 10:57:02
MaintainerChristoph Pamminger <christoph.pamminger@gmail.com>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bayesMCClust")

Man pages

bayesMCClust-package: Mixtures-of-Experts Markov Chain Clustering and Dirichlet...
calcAllocations: Computes Group Sizes, Group Membership and Individual...
calcEntropy: Calculates the Entropy of a Given Classification
calcEquiDist: Calculates (And Plots) the Stationary Distribution (Steady...
calcLongRunDist: Calculates And Plots the Long-Run Distribution Over the...
calcMSCrit: Calculates Model Selection Criteria For Several (Independent)...
calcNumEff: Calculates Inefficiency Factors of the MCMC Draws Obtained...
calcParMatDMC: Calculates the Posterior Expectation of the Cluster-Specific...
calcRegCoeffs: Calculates Posterior Expectations, Standard Deviations and...
calcSegmentationPower: Calculates the 'Segmentation Power' of the Specified...
calcTransProbs: Calculates the Posterior Expectation and Standard Deviations...
calcVariationDMC: Analyses How Much Unobserved Heterogeneity Is Present in the...
dmClustering: Dirichlet Multinomial Clustering With And Without...
LMEntryPaperData: Data From Fruehwirth-Schnatter et al. (2011): "Labor market...
MCCExampleData: A Small MCC/DMC Example Data Set
MCCExtExampleData: An Extended MCC/DMC Example Data Set Including Covariates
mcClustering: Markov Chain Clustering With And Without Mixtures-of-Experts...
MNLAuxMix: Bayesian Multinomial Logit Regression Using Auxiliary Mixture...
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...
plotTypicalMembers: Plots Time Series of 'Typical' Group Members
transformDataToNjki: Transform Markov Chain (Time Series) Data Into Transition...

Functions

LMEntryPaperData Man page
MCCExampleData Man page
MCCExtExampleData Man page
MNLAuxMix Man page Source code
bayesMCClust Man page
bayesMCClust-package Man page
calcAllocations Man page
calcAllocationsDMC Man page Source code
calcAllocationsDMCExt Man page Source code
calcAllocationsMCC Man page Source code
calcAllocationsMCCExt Man page Source code
calcAllocationsMNL Man page Source code
calcEntropy Man page Source code
calcEquiDist Man page Source code
calcLongRunDist Man page Source code
calcMSCrit Man page
calcMSCritDMC Man page Source code
calcMSCritDMCExt Man page Source code
calcMSCritMCC Man page Source code
calcMSCritMCCExt Man page Source code
calcNumEff Man page Source code
calcParMatDMC Man page Source code
calcRegCoeffs Man page Source code
calcSegmentationPower Man page Source code
calcTransProbs Man page Source code
calcVariationDMC Man page Source code
dataFrameToNjki Man page Source code
dataListToNjki Man page Source code
dmClust Man page Source code
dmClustExtended Man page Source code
dmClustering Man page
mcClust Man page Source code
mcClustExtended Man page Source code
mcClustering Man page
plotLikeliPaths Man page Source code
plotScatter Man page Source code
plotTransProbs Man page Source code
plotTypicalMembers Man page Source code
transformDataToNjki Man page

Files

MD5
R
R/plotTypicalMembers.R
R/plotTransProbs.R
R/plotScatter.R
R/plotLikeliPaths.R
R/MNLAuxMix.R
R/mcClustExtended.R
R/mcClust.R
R/dmClustExtended.R
R/dmClust.R
R/dataListToNjki.R
R/dataFrameToNjki.R
R/calcVariationDMC.R
R/calcTransProbs.R
R/calcSegmentationPower.R
R/calcRegCoeffs.R
R/calcParMatDMC.R
R/calcNumEff.R
R/calcMSCritMCCExt.R
R/calcMSCritMCC.R
R/calcMSCritDMCExt.R
R/calcMSCritDMC.R
R/calcLongRunDist.R
R/calcEquiDist.R
R/calcEntropy.R
R/calcAllocationsMNL.R
R/calcAllocationsMCCExt.R
R/calcAllocationsMCC.R
R/calcAllocationsDMCExt.R
R/calcAllocationsDMC.R
R/bayesMCClust-internal.R
NAMESPACE
man
man/transformDataToNjki.Rd
man/plotTypicalMembers.Rd
man/plotTransProbs.Rd
man/plotScatter.Rd
man/plotLikeliPaths.Rd
man/MNLAuxMix.Rd
man/mcClustering.Rd
man/MCCExtExampleData.Rd
man/MCCExampleData.Rd
man/LMEntryPaperData.Rd
man/dmClustering.Rd
man/calcVariationDMC.Rd
man/calcTransProbs.Rd
man/calcSegmentationPower.Rd
man/calcRegCoeffs.Rd
man/calcParMatDMC.Rd
man/calcNumEff.Rd
man/calcMSCrit.Rd
man/calcLongRunDist.Rd
man/calcEquiDist.Rd
man/calcEntropy.Rd
man/calcAllocations.Rd
man/bayesMCClust-package.Rd
DESCRIPTION
data
data/MCCExtExampleData.rda
data/MCCExampleData.rda
data/LMEntryPaperData.rda
data/datalist
bayesMCClust documentation built on May 19, 2017, 1:17 p.m.