Initialise: Initialise a Dirichlet process object

In dirichletprocess: Build Dirichlet Process Objects for Bayesian Modelling

Initialise a Dirichlet process object

Description

Initialise a Dirichlet process object by assigning all the data points to a single cluster with a posterior or prior draw for parameters.

Usage

Initialise(
  dpObj,
  posterior = TRUE,
  m = 3,
  verbose = TRUE,
  numInitialClusters = 1
)

Arguments

dpObj	A Dirichlet process object.
posterior	TRUE/FALSE value for whether the cluster parameters should be from the posterior. If false then the values are from the prior.
m	Number of auxiliary variables to use for a non-conjugate mixing distribution. Defaults to m=3. See ClusterComponentUpdate for more details on m.
verbose	Logical flag indicating whether to output the acceptance ratio for non-conjugate mixtures.
numInitialClusters	Number of clusters to initialise with.

Value

A Dirichlet process object that has initial cluster allocations.

dirichletprocess documentation built on Aug. 25, 2023, 5:19 p.m.