BetaMixtureCreate: Create a Beta mixing distribution.

In dirichletprocess: Build Dirichlet Process Objects for Bayesian Modelling

Create a Beta mixing distribution.

Description

See DirichletProcessBeta for the default prior and hyper prior distributions.

Usage

BetaMixtureCreate(
  priorParameters = c(2, 8),
  mhStepSize = c(1, 1),
  maxT = 1,
  hyperPriorParameters = c(1, 0.125)
)

Arguments

priorParameters	The prior parameters for the base measure.
mhStepSize	The Metropolis Hastings step size. A numeric vector of length 2.
maxT	The upper bound of the Beta distribution. Defaults to 1 for the standard Beta distribution.
hyperPriorParameters	The parameters for the hyper prior.

Value

A mixing distribution object.

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