Package: dirichletprocess Type: Package Title: Build Dirichlet Process Objects for Bayesian Modelling Version: 0.4.2.9000 Authors@R: c( person("Gordon", "J. Ross", email="gordon@gordonjross.co.uk", role=c("aut")), person("Dean", "Markwick", email="dean.markwick@talk21.com", role=c("aut", "cre")), person("Kees", "Mulder", email="keestimmulder@gmail.com", role=c("ctb"), comment = c(ORCID = "0000-0002-5387-3812")), person("Giovanni", "Sighinolfi", email ="giovanni.sighinolfi2@studio.unibo.it", role=c("ctb")), person("Filippo Fiocchi", email="filippofiocchi1@gmail.com", role=c("ctb")) ) Maintainer: Dean Markwick Description: 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. Depends: R (>= 2.10) License: GPL-3 Encoding: UTF-8 LazyData: true Suggests: testthat, knitr, rmarkdown, tidyr, dplyr Imports: gtools, ggplot2, mvtnorm URL: https://github.com/dm13450/dirichletprocess, https://dm13450.github.io/dirichletprocess/ BugReports: https://github.com/dm13450/dirichletprocess/issues Config/roxygen2/version: 8.0.0 Repository: https://dm13450.r-universe.dev Date/Publication: 2026-08-12 04:00:49 UTC RemoteUrl: https://github.com/dm13450/dirichletprocess RemoteRef: HEAD RemoteSha: 6b0b15bb7a30423f726df265f4f344c2ab09a857 NeedsCompilation: no Packaged: 2026-10-11 09:32:41 UTC; root Author: Gordon J. Ross [aut], Dean Markwick [aut, cre], Kees Mulder [ctb] (ORCID: ), Giovanni Sighinolfi [ctb], Filippo Fiocchi [ctb]