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  "Title": "Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo",
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  "Date": "2025-09-24",
  "Authors@R": "c(\nperson(\"Francesco\", \"Denti\", ,\"francescodenti.personal@gmail.com\",\nrole = c(\"aut\",\"cre\"),\ncomment = c(ORCID = \"0000-0003-2978-4702\")),\nperson(\"Laura\", \"D'Angelo\", ,\"laura.dangelo@live.com\",\nrole = c(\"aut\", \"cph\"),\ncomment = c(ORCID = \"0000-0001-5034-7414\"))\n)",
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  "BugReports": "https://github.com/laura-dangelo/SANple/issues",
  "Description": "Estimate Bayesian nested mixture models via Markov Chain\nMonte Carlo methods. Specifically, the package implements the\ncommon atoms model (Denti et al., 2023), and hybrid\nfinite-infinite models. All models use Gaussian mixtures with a\nnormal-inverse-gamma prior distribution on the parameters.\nAdditional functions are provided to help analyzing the results\nof the fitting procedure. References: Denti, Camerlenghi,\nGuindani, Mira (2023) <doi:10.1080/01621459.2021.1933499>,\nD’Angelo, Denti (2024) <doi:10.1214/24-BA1458>.",
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  "Author": "Francesco Denti [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-2978-4702>), Laura D'Angelo [aut,\ncph] (ORCID: <https://orcid.org/0000-0001-5034-7414>)",
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