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  "Title": "Fast Bayesian Probability Estimation for Multimodal Categorical\nData",
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  "Date": "2026-06-18",
  "Authors@R": "person(given = \"Gergo\",\nfamily = \"Dioszegi\",\nrole = c(\"aut\", \"cre\"),\nemail = \"dijogergo@gmail.com\",\ncomment = c(ORCID = \"0009-0003-3454-9093\"))",
  "Description": "Fast Bayesian probability estimation for multimodal\ncategorical data using speed-optimized Markov chain Monte Carlo\n(MCMC) implementation\n(Metropolis-Hastings-within-partial-Gibbs). The package\nprovides efficient algorithms for detecting subpopulations,\nestimating mixture components, and assigning observations to\nsubgroups with probability estimates. The methods are described\nin Dioszegi, G. et al. (2026) \"Automatic Bayesian Mixture\nModeling for Multimodal Categorical Data via Integrated Mode\nDetection and Metropolis-Hastings-within-Gibbs Sampling\"\n(submitted to Journal of Statistical Software).",
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