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BayesBinMix (version 1.4.1)

Bayesian Estimation of Mixtures of Multivariate Bernoulli Distributions

Description

Fully Bayesian inference for estimating the number of clusters and related parameters to heterogeneous binary data.

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Version

Install

install.packages('BayesBinMix')

Monthly Downloads

297

Version

1.4.1

License

GPL-2

Maintainer

Panagiotis Papastamoulis

Last Published

July 4th, 2017

Functions in BayesBinMix (1.4.1)

myDirichlet

Simulate from Dirichlet distribution
print.bbm.object

Print function
collapsedGibbsBinMix

collapsed Gibbs sampler
complete.loglikelihood

complete log-likelihood
coupledMetropolis

Metropolis-coupled Markov chain Monte Carlo sampler
dealWithLabelSwitching

Label switching algorithms
dealWithLabelSwitchingMissing

Label switching algorithms for the case of missing data
gibbsBinMix

Standard Gibbs sampler
toSolve

An equation to solve
BayesBinMix-package

Bayesian Estimation of Mixtures of Multivariate Bernoulli Distributions
allocationSamplerBinMix

The allocation sampler algorithm.