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dirichletprocess: 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) <https://www.stats.ox.ac.uk/~teh/research/npbayes/Teh2010a.pdf>, among many other sources.

Version: 0.4.2
Depends: R (≥ 2.10)
Imports: gtools, ggplot2, mvtnorm
Suggests: testthat, knitr, rmarkdown, tidyr, dplyr
Published: 2023-08-25
DOI: 10.32614/CRAN.package.dirichletprocess
Author: Gordon J. Ross [aut], Dean Markwick [aut, cre], Kees Mulder ORCID iD [ctb], Giovanni Sighinolfi [ctb], Filippo Fiocchi [ctb]
Maintainer: Dean Markwick <dean.markwick at talk21.com>
BugReports: https://github.com/dm13450/dirichletprocess/issues
License: GPL-3
URL: https://github.com/dm13450/dirichletprocess, https://dm13450.github.io/dirichletprocess/
NeedsCompilation: no
Materials: README NEWS
In views: Bayesian
CRAN checks: dirichletprocess results

Documentation:

Reference manual: dirichletprocess.pdf
Vignettes: dirichletprocess: An R Package for Fitting Complex Bayesian Nonparametric Models

Downloads:

Package source: dirichletprocess_0.4.2.tar.gz
Windows binaries: r-devel: dirichletprocess_0.4.2.zip, r-release: dirichletprocess_0.4.2.zip, r-oldrel: dirichletprocess_0.4.2.zip
macOS binaries: r-release (arm64): dirichletprocess_0.4.2.tgz, r-oldrel (arm64): dirichletprocess_0.4.2.tgz, r-release (x86_64): dirichletprocess_0.4.2.tgz, r-oldrel (x86_64): dirichletprocess_0.4.2.tgz
Old sources: dirichletprocess archive

Reverse dependencies:

Reverse imports: copre, MIRES

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dirichletprocess to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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