CRAN
dirichletprocess 0.3.0
Build Dirichlet Process Objects for Bayesian Modelling
Released May 3, 2019 by Dean Markwick
This package cannot yet be used with Renjin it depends on other packages which are not available: ggplot2 3.1.1
An older version of this package is
more compatible with Renjin.
Dependencies
ggplot2 3.1.1 gtools 3.8.1 mvtnorm 1.0-10
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)