Description Usage Arguments Details Author(s)
This function implements full Gibbs sampling to simulate an MCMC sample from the posterior distribution assuming known number of mixture components.
1 2  gibbsBinMix(alpha, beta, gamma, K, m, burn, data,
thinning, z.true, outputDir)

alpha 
First shape parameter of the Beta prior distribution (strictly positive). Defaults to 1. 
beta 
Second shape parameter of the Beta prior distribution (strictly positive). Defaults to 1. 
gamma 

K 
Number of clusters. 
m 
Number of MCMC iterations. 
burn 
Burnin period. 
data 
Binary data. 
thinning 
Thinning of the simulated chain. 
z.true 
An optional vector of cluster assignments considered as the groundtruth clustering of the observations. Useful for simulations. 
outputDir 
Output directory. 
Not really used.
Panagiotis Papastamoulis
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