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  "Package": "dcmstan",
  "Title": "Generate 'Stan' Code for Diagnostic Classification Models",
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  "Authors@R": "c(\nperson(\"W. Jake\", \"Thompson\", , \"wjakethompson@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-7339-0300\")),\nperson(\"Jeffrey\", \"Hoover\", , \"jeffrey.c.hoover@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-0276-0308\")),\nperson(\"Auburn\", \"Jimenez\", , \"auburn.jimenez34@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-7072-2960\")),\nperson(\"University of Kansas\", role = \"cph\"),\nperson(\"Institute of Education Sciences\", role = \"fnd\")\n)",
  "Description": "Diagnostic classification models are psychometric models\nused to categorically estimate respondents mastery, or\nproficiency, on a set of predefined skills (Bradshaw, 2016,\n<doi:10.1002/9781118956588.ch13>).  Diagnostic models can be\nestimated with 'Stan'; however, the necessary scripts can be\nlong and complicated. This package automates the creation of\n'Stan' scripts for diagnostic classification models. Specify\ndifferent types of diagnostic models, define prior\ndistributions, and automatically generate the necessary 'Stan'\ncode for estimating the model.",
  "License": "MIT + file LICENSE",
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  "Date/Publication": "2025-12-02 15:57:05 UTC",
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