Update the parameters of each individual cluster using all the data assigned to the particular cluster. A sample is taken from the posterior distribution using a direct sample if the mixing distribution is conjugate or the Metropolis Hastings algorithm for non-conjugate mixtures.

ClusterParameterUpdate(dpObj)

Arguments

dpObj

Dirichlet process object

Value

Dirichlet process object with update cluster parameters

Examples

dp <- DirichletProcessGaussian(rnorm(10)) dp <- ClusterParameterUpdate(dp)