
DPpackage
 Referenced in 66 articles
[sw10495]
 eliciting the precision parameter of the Dirichlet process prior, and a general purpose Metropolis sampling...

PReMiuM
 Referenced in 10 articles
[sw14746]
 package PReMiuM: Dirichlet Process Bayesian Clustering, Profile Regression. Bayesian clustering using a Dirichlet process mixture...

dirichletprocess
 Referenced in 3 articles
[sw32614]
 package 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 prebuilt models ... Markov chain Monte Carlo sampling. Our Dirichlet process objects can act as building blocks...

dpmixsim
 Referenced in 3 articles
[sw24713]
 package dpmixsim: Dirichlet Process Mixture model simulation for clustering and image segmentation. The package implements ... Dirichlet Process Mixture (DPM) model for clustering and image segmentation. The DPM model...

PhyloBayes MPI
 Referenced in 2 articles
[sw23042]
 Modeling across site variation of the substitution process is increasingly recognized as important for obtaining ... fast but simplified version of a Dirichlet process model over equilibrium frequency profiles implemented ... interface version of PhyloBayes, implementing the Dirichlet process mixture models as well as more classical ... truncated stickbreaking representation for the Dirichlet process prior. The implementation shows close to linear...

BNPmix
 Referenced in 2 articles
[sw28208]
 mixture models, and GriffithsMilne Dependent Dirichlet process mixture models. PitmanYor process mixture models ... importance conditional sampler a GMDependent Dirichlet process mixture model...

profdpm
 Referenced in 2 articles
[sw24502]
 Package profdpm: Profile Dirichlet Process Mixtures. This package facilitates profile inference (inference at the posterior ... product partition models (PPM). The Dirichlet process mixture is currently the only available member...

DPWeibull
 Referenced in 1 article
[sw20438]
 package DPWeibull. Use Dirichlet process Weibull mixture model and dependent Dirichlet process Weibull mixture model ... data with and without competing risks. Dirichlet process Weibull mixture model is used for data ... without covariates and dependent Dirichlet process model is used for regression data. The package ... competing risks. Inside each cluster of Dirichlet process, we assume a multiplicative effect of covariates...

growfunctions
 Referenced in 2 articles
[sw16375]
 field (iGMRF) prior formulations where a Dirichlet process mixture allows subgroupings of the functions...

CRCView
 Referenced in 2 articles
[sw35381]
 microarray gene expression data using a Dirichlet process mixture modelbased clustering algorithm. CRCView...

Growcurves
 Referenced in 2 articles
[sw14634]
 class of models employs a Dirichlet process (DP) prior for the subject random effects...

pyMEF
 Referenced in 2 articles
[sw07455]
 promising stochastic modeling methods include Dirichlet process mixtures and $k$maximum likelihood estimators. Most...

DIRECT
 Referenced in 1 article
[sw09308]
 Clustering of Multivariate Data Under the DirichletProcess Prior. Implements the clustering method ... Tavare: Bayesian clustering with the Dirichletprocess prior. Estimates the number of clusters from...

sugsvarsel
 Referenced in 1 article
[sw35024]
 approximate inference for variable selection in Dirichlet process mixtures, with an application to pancancer...

BNSP
 Referenced in 1 article
[sw24225]
 semiparametric models: 1. Dirichlet process mixtures & 2. spikeslab for variable selection in mean/variance...

NPBayesImputeCat
 Referenced in 1 article
[sw33905]
 Imputations and syntheses are based on Dirichlet process mixtures of multinomial distributions, which...

SBMSplitMerge
 Referenced in 1 article
[sw38495]
 chain Monte Carlo algorithm and a Dirichlet process sampler. Green, Richardson (2001)

BNPMIXcluster
 Referenced in 1 article
[sw18028]
 location mixture model with a PoissonDirichlet process prior on the location parameters...

gensim
 Referenced in 13 articles
[sw04081]
 humanwise) as possible. Gensim aims at processing raw, unstructured digital texts (“plain text ... gensim, such as Latent Semantic Analysis, Latent Dirichlet Allocation or Random Projections, discover semantic structure...

lrgs
 Referenced in 0 articles
[sw16144]
 mixture of specified size or a Dirichlet process with a Gaussian base distribution...