• 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 pre-built 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 stick-breaking representation for the Dirichlet process prior. The implementation shows close to linear...
  • BNPmix

  • Referenced in 2 articles [sw28208]
  • mixture models, and Griffiths-Milne Dependent Dirichlet process mixture models. Pitman-Yor process mixture models ... importance conditional sampler a GM-Dependent 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 sub-groupings of the functions...
  • CRCView

  • Referenced in 2 articles [sw35381]
  • microarray gene expression data using a Dirichlet process mixture model-based 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 Dirichlet-Process Prior. Implements the clustering method ... Tavare: Bayesian clustering with the Dirichlet-process 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 pan-cancer...
  • BNSP

  • Referenced in 1 article [sw24225]
  • semi-parametric models: 1. Dirichlet process mixtures & 2. spike-slab 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 Poisson-Dirichlet process prior on the location parameters...
  • gensim

  • Referenced in 13 articles [sw04081]
  • human-wise) 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...