See DirichletProcessBeta
for the default prior and hyper prior distributions.
BetaMixtureCreate(priorParameters = c(2, 8), mhStepSize = c(1, 1),
maxT = 1, hyperPriorParameters = c(1, 0.125))
The prior parameters for the base measure.
The Metropolis Hastings step size. A numeric vector of length 2.
The upper bound of the Beta distribution. Defaults to 1 for the standard Beta distribution.
The parameters for the hyper prior.
A mixing distribution object.