See DirichletProcessWeibull for the default prior and hyper prior distributions.
WeibullMixtureCreate(priorParameters, mhStepSize, hyperPriorParameters = c(6, 2, 1, 0.5))
| priorParameters | Prior parameters for the Weibull parameters |
|---|---|
| mhStepSize | Metropolis Hastings Step Size |
| hyperPriorParameters | Parameters for the hyper-priors |
A mixing distribution object.