initialize-mcmcoutputpermfixhierpost-method: Initializer of the 'mcmcoutputpermfixhierpost' class

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

Description

Only used implicitly. The initializer stores the data into the slots of the passed-in object.

Usage

## S4 method for signature 'mcmcoutputpermfixhierpost'
initialize(
  .Object,
  mcmcoutput,
  Mperm = integer(),
  parperm = list(),
  logperm = list(),
  hyperperm = list(),
  postperm = list()
)

Arguments

.Object	An object: see the "initialize Methods" section in initialize.
mcmcoutput	An mcmcoutputpermfixhierpost class containing the results from MCMC sampling.
Mperm	An integer defining the number of permuted MCMC samples.
parperm	A named list containing the permuted component parameter samples from MCMC sampling
logperm	A named list containing the mixture log-likelihood, the prior log-likelihood, and the complete data posterior log-likelihood for the permuted MCMC samples.
hyperperm	A named list containing the (permuted) parameters of the hierarchical prior.
postperm	A named list containing a named list par with array(s) of parameters from the posterior density.

See Also

• Classes_Details for details of class definitions, and

• setOldClass for the relation to S3 classes

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