| McmcChains-class {CNPBayes} | R Documentation |
An object of this class holds estimates of each parameter at each iteration of the MCMC simulation.
thetameans of each batch and component
sigma2variances of each batch and component
pimixture probabilities
muoverall mean in a marginal. In batch model, averaged across batches
tau2overall variance in a marginal model. In a batch model, weighted average by precision across batches.
nu.0shape parameter for sigma.2 distribution
sigma2.0rate parameter for sigma.2 distribution
logpriorlog likelihood of prior.
logliklog likelihood.
zfreqtable of z.
zlatent variables