LikelihoodFunction: The Likelihood function of a Dirichlet process object.

In dirichletprocess: Build Dirichlet Process Objects for Bayesian Modelling

The Likelihood function of a Dirichlet process object.

Description

Collecting the fitted cluster parameters and number of datapoints associated with each parameter a likelihood can be calculated. Each cluster is weighted by the number of datapoints assigned.

Usage

LikelihoodFunction(dpobj, ind)

Arguments

dpobj	Dirichlet process object.
ind	The iteration number. Defaults to the last iteration.

Value

A function f(x) that represents the Likelihood of the dpobj.

Examples

y <- rnorm(10)
dp <- DirichletProcessGaussian(y)
dp <- Fit(dp, 5)
f <- LikelihoodFunction(dp)
plot(f(-2:2))

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