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

Description Usage Arguments See Also

Description

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

Usage

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## S4 method for signature 'mcmcoutputpermpost'
initialize(
  .Object,
  mcmcoutput,
  Mperm = integer(),
  parperm = list(),
  relabel = character(),
  weightperm = array(),
  logperm = list(),
  postperm = list(),
  entropyperm = array(),
  STperm = array(),
  Sperm = array(),
  NKperm = array()
)

Arguments

.Object

An object: see the "initialize Methods" section in initialize.

mcmcoutput

An mcmcoutput 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

relabel

A character specifying the relabeling algorithm used for permuting the MCMC samples.

weightperm

An array of dimension Mperm x K containing the relabeled weight parameters.

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.

postperm

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

entropyperm

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

STperm

An array of dimension Mperm x 1 containing all permuted 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.

NKperm

An array of dimension Mperm x K containing the numbers of observations assigned to each component.

An

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

See Also


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