McmcChains-class {CNPBayes} | R Documentation

## An object to hold estimated paraeters.

### 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.

`predictive`

  posterior predictive distribution

`zstar`

  needed for plotting posterior predictive distribution

`k`

  integer specifying number of components

`iter`

  integer specifying number of MCMC simulations

`B`

  integer specifying number of batches

[Package CNPBayes version 1.13.5 Index]