The Likelihood function of a Dirichlet process object.

Source: R/likelihood_function.R

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.

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))