LikelihoodFunction function

The Likelihood function of a Dirichlet process object.

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.

LikelihoodFunction(dpobj, ind)

Arguments

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

Returns

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))