getEntropy-mcmcoutputbase-method: Getter method of 'mcmcoutput' class.

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

Description

Returns the entropy slot.

Usage

## S4 method for signature 'mcmcoutputbase'
getEntropy(object)

Arguments

object

An mcmcoutput object.

Value

The entropy slot of the object.

See Also

• mcmcoutput for the class definition

• mixturemcmc() for performing MCMC sampling

Examples

# Define a Poisson mixture model with two components.
f_model <- model("poisson", par = list(lambda = c(0.3, 1.2)), K = 2)
# Simulate data from the mixture model.
f_data <- simulate(f_model)
# Define the hyper-parameters for MCMC sampling.
f_mcmc <- mcmc()
# Complete object slots for consistency. 
(f_data ~ f_model ~ f_mcmc) %=% mcmcstart(f_data, f_model, f_mcmc)
# Define the prior distribution by relying on the data.
f_prior <- priordefine(f_data, f_model)
# Start MCMC sampling.
f_output <- mixturemcmc(f_data, f_model, f_prior, f_mcmc)
# Get the slot.
getEntropy(f_output)

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