MixingDistribution: Create a mixing distribution object

In dirichletprocess: Build Dirichlet Process Objects for Bayesian Modelling

Create a mixing distribution object

Description

The constructor function for a mixing distribution object. Use this function to prepare an object for use with the appropriate distribution functions.

Usage

MixingDistribution(
  distribution,
  priorParameters,
  conjugate,
  mhStepSize = NULL,
  hyperPriorParameters = NULL
)

Arguments

distribution	The name of the distribution mixture
priorParameters	The prior parameters
conjugate	Whether the prior is conjugate to the Likelihood.
mhStepSize	The scale of the proposal parameter for the Metropolis Hastings algorithm. Not needed for conjugate mixtures.
hyperPriorParameters	Vector of hyperPriorParameters for the distribution.

dirichletprocess documentation built on Aug. 25, 2023, 5:19 p.m.