mcmcoutputhierpost-class: Finmix 'mcmcoutputhierpost' class

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

Description

This class stores samples from bayesian estimation with hierarchical prior and unknown indicators. It inherits from mcmcoutputhier and adds to it a slot to store the parameters from the posterior density. For a model with unknown indicators the slot @indicfix in the model object specifying the finite mixture model must be set to FALSE (default). Sampling with a hierarchical prior is activated by setting the slot @hier in the prior object to TRUE (default). Finally, to store parameters for the posterior density the hyper-parameter storepost in the mcmc object must be set to TRUE (default).

Slots

post

A named list containing a named list par that contains arrays storing the sampled posterior density parameters.

See Also

• mcmcoutputhier for the parent class

• prior for the class specifying the prior distribution

• prior() for the prior class constructor

• priordefine() for the advanced prior class constructor

• mcmc for the class defining the hyper-parameters

• mcmc() for the mcmc class constructor

• model for the model class definition

• model() for the model class constructor

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