DirichletProcessCreate

mdObject

Prior parameters for the concentration parameter of the Dirichlet Process

alphaPriorParameters

Number of posterior samples to take in the nonconjugate case

mhDraws

Using a previously created Mixing Distribution Object (<code>mdObject</code>) create a Dirichlet process object.

Perform nonparametric Bayesian analysis using Dirichlet
processes without the need to program the inference algorithms.
Utilise included pre-built models or specify custom
models and allow the 'dirichletprocess' package to handle the
Markov chain Monte Carlo sampling.
Our Dirichlet process objects can act as building blocks for a variety
of statistical models including and not limited to: density estimation,
clustering and prior distributions in hierarchical models.
See Teh, Y. W. (2011)
<https://www.stats.ox.ac.uk/~teh/research/npbayes/Teh2010a.pdf>,
among many other sources.

DirichletProcessCreate: Create a Dirichlet Process object

Description

Usage

Arguments