{ "_id": "6a14cbc4acfb0bcc41d4bfdd", "Package": "vimixr", "Title": "Collapsed Variational Inference for Dirichlet Process (DP)\nMixture Model", "Version": "0.1.2", "Authors@R": "c( \nperson(\"Annesh\", \"Pal\", , \"sistm.soft.maintain@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0003-2146-180X\")),\nperson(\"Boris\", \"Hejblum\", , \"boris.hejblum@u-bordeaux.fr\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0003-0646-452X\"))\n)", "Description": "Collapsed Variational Inference for a Dirichlet Process\n(DP) mixture model with unknown covariance matrix structure and\nDP concentration parameter. It enables efficient clustering of\nhigh-dimensional data with significantly improved computational\nspeed than traditional MCMC methods. 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