PosteriorClusters function

Generate the posterior clusters of a Dirichlet Process

Using the stick breaking representation the user can draw the posterior clusters and weights for a fitted Dirichlet Process. See also PosteriorFunction.

PosteriorClusters(dpobj, ind)

Arguments

• dpobj: Fitted Dirichlet process
• ind: Index for which the posterior will be drawn from. Defaults to the last iteration of the fit.

Returns

A list with the weights and cluster parameters that form the posterior of the Dirichlet process.

Examples

y <- rnorm(10)
dp <- DirichletProcessGaussian(y)
dp <- Fit(dp, 5)
postClusters <- PosteriorClusters(dp)