data_list

<p>This is a (very) small MCMC sample corresponding to data of 5 observations from a mixture 2 normal distributions. The MCMC sample consists of 300 iterations. It is stored to <code>data_list$mcmc.pars</code>. <code>data_list$mcmc.pars[,,1]</code> corresponds to means, <code>data_list$mcmc.pars[,,2]</code> corresponds to variances and <code>data_list$mcmc.pars[,,3]</code> corresponds to weights.</p>

datasets

The Bayesian estimation of mixture models (and more general hidden Markov models) suffers from the label switching phenomenon, making the MCMC output non-identifiable. This package can be used in order to deal with this problem using various relabelling algorithms.

Panagiotis Papastamoulis

label.switching

Relabelling MCMC Outputs of Mixture Models

data_list function

<p>A list containing simulated MCMC sample and all information required for the relabelling algorithms.</p>

data_list: Simulated MCMC sample and related information

Description

Usage

Arguments

Format