PosteriorDraw

mdObj

<p>For a non-conjugate distribution the starting parameters. Defaults to a draw from the prior distribution.</p>

<p>Draw from the posterior distribution</p>

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.

Dean Markwick

PosteriorDraw: Draw from the posterior distribution

Description

Usage

Arguments

Value