Generate the posterior clusters of a Dirichlet Process
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)