BEAST v2.7.8 Documentation: feast.modelselect.DirichletProcessPrior

BEASTObject that performs calculations based on the State.
Probabilistic representation that can produce a log probability for instance for running an MCMC chain.
A distribution representing the probability of the elements of an input function (parameter) under a Dirichlet process prior with a particular base distribution (baseDistr) and scale paraemter (scaleParameter). In order to use this, you'll need to ensure operators preserve the equivalence of identical elements of function.

Logable: yes, this can be used in a log.

Inputs:

parameter, baseDistr, scaleParameter

 

parameter
type: beast.base.core.Function
Array to which to apply DPP.
Required input

 

baseDistr
type: beast.base.inference.distribution.ParametricDistribution
Base distribution for Dirichlet process
Required input

 

scaleParameter
type: beast.base.core.Function
Scale parameter of DPP.
Required input