Other packages > Find by keyword >

dirichletprocess  

Build Dirichlet Process Objects for Bayesian Modelling
View on CRAN: Click here


Download and install dirichletprocess package within the R console
Install from CRAN:
install.packages("dirichletprocess")

Install from Github:
library("remotes")
install_github("cran/dirichletprocess")

Install by package version:
library("remotes")
install_version("dirichletprocess", "0.4.2")



Attach the package and use:
library("dirichletprocess")
Maintained by
Dean Markwick
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-29
Latest Update: 2023-08-25
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.
How to cite:
Dean Markwick (2018). dirichletprocess: Build Dirichlet Process Objects for Bayesian Modelling. R package version 0.4.2, https://cran.r-project.org/web/packages/dirichletprocess. Accessed 27 Jun. 2026.
Previous versions and publish date:
0.2.0 (2018-01-29 19:24), 0.2.1 (2018-04-18 18:36), 0.2.2 (2018-11-23 18:50), 0.3.0 (2019-05-03 18:10), 0.3.1.1 (2020-04-03 08:49), 0.3.1 (2019-12-11 09:10), 0.4.0 (2020-06-13 12:40), 0.4.1 (2023-03-10 12:50)
Other packages that cited dirichletprocess R package
View dirichletprocess citation profile
Other R packages that dirichletprocess depends, imports, suggests or enhances
Complete documentation for dirichletprocess
Functions, R codes and Examples using the dirichletprocess R package
Some associated functions: BetaMixture2Create . BetaMixtureCreate . Burn . ChangeObservations . ClusterComponentUpdate . ClusterLabelPredict . ClusterParameterUpdate . DiagnosticPlots . DirichletHMMCreate . DirichletProcessBeta . DirichletProcessBeta2 . DirichletProcessCreate . DirichletProcessExponential . DirichletProcessGaussian . DirichletProcessGaussianFixedVariance . DirichletProcessHierarchicalBeta . DirichletProcessHierarchicalMvnormal2 . DirichletProcessMvnormal . DirichletProcessMvnormal2 . DirichletProcessWeibull . ExponentialMixtureCreate . Fit.markov . Fit . GaussianFixedVarianceMixtureCreate . GaussianMixtureCreate . GlobalParameterUpdate . HierarchicalBetaCreate . HierarchicalMvnormal2Create . Initialise . Likelihood . LikelihoodDP . LikelihoodFunction . MixingDistribution . Mvnormal2Create . MvnormalCreate . PenalisedLikelihood . PosteriorClusters . PosteriorDraw . PosteriorFrame . PosteriorFunction . PosteriorParameters . Predictive . PriorClusters . PriorDensity . PriorDraw . PriorFunction . PriorParametersUpdate . StickBreaking . UpdateAlpha . UpdateAlphaBeta . WeibullMixtureCreate . dirichletprocess . plot.dirichletprocess . print.dirichletprocess . rats . true_cluster_labels . weighted_function_generator . 
Some associated R codes: beta_uniform_gamma.R . beta_uniform_pareto.R . burn.R . change_observations.R . cluster_component_update.R . cluster_label_change.R . cluster_label_predict.R . cluster_parameter_update.R . data.R . diagnostic_plots.R . dirichlet_hmm_create.R . dirichlet_process_beta.R . dirichlet_process_beta_2.R . dirichlet_process_create.R . dirichlet_process_exponential.R . dirichlet_process_gaussian.R . dirichlet_process_gaussian_fixed_variance.R . dirichlet_process_hierarchical_beta.R . dirichlet_process_hierarchical_mvnormal2.R . dirichlet_process_mvnormal.R . dirichlet_process_mvnormal2.R . dirichlet_process_weibull.R . dirichletprocess.R . duplicate_cluster_remove.R . exponential_gamma.R . fit.R . fit_hmm.R . global_parameter_update.R . hierarchical_beta.R . hierarchical_mvnormal2.R . initialise.R . likelihood.R . likelihood_function.R . metropolis_hastings.R . mixing_distribution.R . mixing_distribution_likelihood.R . mixing_distribution_penalised_likelihood.R . mixing_distribution_posterior_draw.R . mixing_distribution_posterior_parameters.R . mixing_distribution_predictive.R . mixing_distribution_prior_density.R . mixing_distribution_prior_draw.R . mixing_distribution_update_prior_parameters.R . mvnormal_normal_wishart.R . mvnormal_semi_conjugate.R . normal_fixed_variance.R . normal_inverse_gamma.R . plot.R . plot_dirichletprocess.R . posterior.R . posterior_clusters.R . posterior_frame.R . print.R . prior.R . prior_clusters.R . stick_breaking.R . table_update.R . true_cluster_labels.R . update_alpha.R . update_alpha_beta.R . update_concentration.R . update_g0.R . update_states.R . utilities.R . weibull_uniform_gamma.R .  Full dirichletprocess package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gsloid  
Global Sea Level and Oxygen Isotope Data
Contains published data sets for global benthic d18O data for 0-5.3 Myr ...
Download / Learn more Package Citations See dependency  
svWidgets  
Management of GUI Widgets, Windows, and Other GUI Resources
High level management of widgets, windows and other graphical resources. ...
Download / Learn more Package Citations See dependency  
robust  
Port of the S+ "Robust Library"
Methods for robust statistics, a state of the art in the early 2000s, notably for robust regression ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
pedigreemm  
Pedigree-Based Mixed-Effects Models
Fit pedigree-based mixed-effects models. ...
Download / Learn more Package Citations See dependency  
RAT  
Research Assessment Tools
Includes algorithms to assess research productivity and patterns, such as the h-index and i-index. C ...
Download / Learn more Package Citations See dependency  

27,653

R Packages

236,180

Dependencies

73,487

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA