An R package that supplies ready-to-use Dirichlet process objects and handles MCMC sampling so users can fit nonparametric Bayesian models for clustering and density estimation without implementing the algorithms themselves.
Dirichlet process mixtures of beta distributions, with applications to density and intensity estimation , booktitle =
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dirichletprocess: An R Package for Fitting Complex Bayesian Nonparametric Models
An R package that supplies ready-to-use Dirichlet process objects and handles MCMC sampling so users can fit nonparametric Bayesian models for clustering and density estimation without implementing the algorithms themselves.