dirichletprocess (0.3.1)

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Build Dirichlet Process Objects for Bayesian Modelling.


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) , among many other sources.

Maintainer: Dean Markwick
Author(s): Gordon J. Ross [aut], Dean Markwick [aut, cre], Kees Mulder [ctb] (<https://orcid.org/0000-0002-5387-3812>)

License: GPL-3

Uses: ggplot2, gtools, mvtnorm, testthat, knitr, dplyr, tidyr, rmarkdown

Released about 1 month ago.

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