An object to hold estimated paraeters.

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Description

An object of this class holds estimates of each parameter at each iteration of the MCMC simulation.

Slots

theta

means of each batch and component

sigma2

variances of each batch and component

pi

mixture probabilities

mu

overall mean in a marginal. In batch model, averaged across batches

tau2

overall variance in a marginal model. In a batch model, weighted average by precision across batches.

nu.0

shape parameter for sigma.2 distribution

sigma2.0

rate parameter for sigma.2 distribution

logprior

log likelihood of prior.

loglik

log likelihood.

zfreq

table of z.

z

latent variables

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