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
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
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

QuantileNPCI  
Nonparametric Confidence Intervals for Quantiles
Based on Alan D. Hutson (1999) , "Calculating nonparametric confidence i ...
Download / Learn more Package Citations See dependency  
Maintainer: Li Yan (view profile)
FMCCSD  
Efficient Estimation of Clustered Current Status Data
Current status data abounds in the field of epidemiology and public health, where the only observab ...
Download / Learn more Package Citations See dependency  
factorplot  
Graphical Presentation of Simple Contrasts
Methods to calculate, print, summarize and plot pairwise differences from GLMs, GLHT or Multinomial ...
Download / Learn more Package Citations See dependency  
cdcfluview  
Retrieve Flu Season Data from the United States Centers for Disease Control and Prevention ("CDC") "FluView" Portal
The 'U.S.' Centers for Disease Control and Prevention (CDC) maintain a portal ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resizer for Images, Tables and Fancy Resizable 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  
bizicount  
Bivariate Zero-Inflated Count Models Using Copulas
Maximum likelihood estimation of copula-based zero-inflated (and non-inflated) Poisson and negative ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns