{
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  "Package": "robcat",
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  "Title": "Robust Categorical Data Analysis",
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  "Date": "2026-02-10",
  "Authors@R": "c(person(given = \"Max\",\nfamily = \"Welz\",\nrole = c(\"aut\", \"cre\"),\nemail = \"max.welz@uzh.ch\",\ncomment = c(ORCID = \"0000-0003-2945-1860\")),\nperson(given = \"Andreas\",\nfamily = \"Alfons\",\nrole = \"aut\",\nemail = \"alfons@ese.eur.nl\",\ncomment = c(ORCID = \"0000-0002-2513-3788\")),\nperson(given = \"Patrick\",\nfamily = \"Mair\",\nrole = \"aut\",\nemail = \"mair@fas.harvard.edu\",\ncomment = c(ORCID = \"0000-0003-0100-6511\"))\n)",
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  "Description": "Robust categorical data analysis based on the theory of\nC-estimation developed in Welz (2024)\n<doi:10.48550/arXiv.2403.11954>. For now, the package only\nimplements robust estimation of polychoric correlation as\nproposed in Welz, Mair and Alfons (2026)\n<doi:10.1017/psy.2025.10066> and robust estimation of\npolyserial correlation (Welz, 2026\n<doi:10.1017/psy.2026.10091>) with methods for printing and\nplotting. We will implement further models in future releases.\nIn addition, the package is still experimental, so input\narguments and class structure may change in future releases.",
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