mcmcoutputbase-class: Finmix 'mcmcoutput' base class for unknown indicators

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 when indicators are not known. It inherits from the mcmcoutputfix.

Slots

weight

An array of dimension M x K containing the sampled weights.

entropy

An array of dimension M x 1 containing the entropy for each MCMC draw.

ST

An array of dimension M x 1 containing all MCMC states, for the last observation in slot y of the fdata object passed in to mixturemcmc() where a state is defined for non-Markov models as the last indicator of this observation.

S

An array of dimension N x storeS containing the last storeS indicators sampled. storeS is defined in the slot storeS of the mcmc object passed into mixturemcmc().

NK

An array of dimension M x K containing the number of observations assigned to each component for each MCMC draw.

clust

An array of dimension N x 1 containing the recent indicators defining the last "clustering" of observations into the mixture components.

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