mcmcoutputfix-class: Finmix 'mcmcoutputfix' class

In simonsays1980/finmix: An R package for Bayesian estimation of finite mixture distributions

Description

This class defines the basic slots for the MCMC sampling output for a fixed indicator model.

Slots

M

An integer defining the number of iterations in MCMC sampling.

burnin

An integer defining the number of iterations in the burn-in phase of MCMC sampling. These number of sampling steps are not stored in the output.

ranperm

A logical indicating, if MCMC sampling has been performed with random permutations of components.

par

A named list containing the sampled component parameters.

log

A named list containing the values of the mixture log-likelihood, mixture prior log-likelihood, and the complete data posterior log-likelihood.

model

The model object that specifies the finite mixture model for whcih MCMC sampling has been performed.

prior

The prior object defining the prior distributions for the component parameters that has been used in MCMC sampling.

simonsays1980/finmix documentation built on Dec. 23, 2021, 2:25 a.m.