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BayesBinMix (version 1.4.2)
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
Version
1.4.2
1.4.1
1.4
1.3
1.2
1.1
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Install
install.packages('BayesBinMix')
Monthly Downloads
442
Version
1.4.2
License
GPL-2
Maintainer
Panagiotis Papastamoulis
Last Published
August 20th, 2026
Functions in BayesBinMix (1.4.2)
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complete.loglikelihood
complete log-likelihood
collapsedGibbsBinMix
collapsed Gibbs sampler
gibbsBinMix
Standard Gibbs sampler
coupledMetropolis
Metropolis-coupled Markov chain Monte Carlo sampler
BayesBinMix-package
Bayesian Estimation of Mixtures of Multivariate Bernoulli Distributions
allocationSamplerBinMix
The allocation sampler algorithm.
print.bbm.object
Print function
dealWithLabelSwitchingMissing
Label switching algorithms for the case of missing data
toSolve
An equation to solve
myDirichlet
Simulate from Dirichlet distribution
dealWithLabelSwitching
Label switching algorithms