mcmcpermindpost-class: Finmix 'mcmcpermindpost' class

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

Description

This class defines objects to store the outputs from permuting the MCMC samples. Due to label switching the sampled component parameters are usually not assigned to the same component in each iteration. To overcome this issue the samples are permuted by using a relabeling algorithm (usually K-means) to reassign parameters. Note that due to assignment of parameters from the same iteration to the same component, the sample size could shrink.

This class is supplementing the parent class by adding a slot to store the permuted parameter samples of the posterior densities.

Slots

postperm

A named list containing a named list par with array(s) of parameters from the posterior density.

See Also

• mcmcpermute() for the calling function

• mcmcpermind for the parent class definition

• mcmcpermfixpost for the corresponding class for models with fixed indicators

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