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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 |
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 |
Reference manual: | dirichletprocess.pdf |
Vignettes: |
dirichletprocess: An R Package for Fitting Complex Bayesian Nonparametric Models |
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 imports: | copre, MIRES |
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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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