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  "Title": "EM Algorithms for Estimating Item Response Theory Models",
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  "Date": "2025-09-23",
  "Authors@R": "c(person(given = \"Kosuke\",\nfamily = \"Imai\",\nrole = c(\"aut\", \"cre\"),\nemail = \"imai@harvard.edu\"),\nperson(given = \"James\",\nfamily = \"Lo\",\nrole = \"aut\",\nemail = \"jameslo989@gmail.com\"),\nperson(given = \"Jonathan\",\nfamily = \"Olmsted\",\nrole = \"aut\",\nemail = \"jpolmsted@gmail.com\"))",
  "Maintainer": "Kosuke Imai <imai@harvard.edu>",
  "Description": "Various Expectation-Maximization (EM) algorithms are\nimplemented for item response theory (IRT) models. The package\nincludes IRT models for binary and ordinal responses, along\nwith dynamic and hierarchical IRT models with binary responses.\nThe latter two models are fitted using variational EM.  The\npackage also includes variational network and text scaling\nmodels.  The algorithms are described in Imai, Lo, and Olmsted\n(2016) <DOI:10.1017/S000305541600037X>.",
  "License": "GPL (>= 3)",
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    "User": "root"
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  "Author": "Kosuke Imai [aut, cre], James Lo [aut], Jonathan Olmsted [aut]",
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  "_releases": [
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      "date": "2015-03-01"
    },
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      "date": "2016-07-29"
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      "title": "Asahi-Todai Elite Survey",
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      "object": "ustweet",
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      "tojson": true
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      "page": "AsahiTodai",
      "title": "Asahi-Todai Elite Survey",
      "topics": [
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      ]
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    {
      "page": "binIRT",
      "title": "Two-parameter Binary IRT estimation via EM",
      "topics": [
        "binIRT"
      ]
    },
    {
      "page": "boot_emIRT",
      "title": "Parametric bootstrap of EM Standard Errirs",
      "topics": [
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      ]
    },
    {
      "page": "convertRC",
      "title": "Convert Roll Call Matrix Format",
      "topics": [
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      ]
    },
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      "title": "Poole-Rosenthal DW-NOMINATE data and scores, 80-110 U.S. Senate",
      "topics": [
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      "topics": [
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    {
      "page": "getStarts",
      "title": "Generate Starts for 'binIRT'",
      "topics": [
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