An object of this class holds estimates of each parameter at each iteration of the MCMC simulation.
means of each batch and component
variances of each batch and component
overall mean in a marginal. In batch model, averaged across batches
overall variance in a marginal model. In a batch model, weighted average by precision across batches.
shape parameter for sigma.2 distribution
rate parameter for sigma.2 distribution
log likelihood of prior.
table of z.
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