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  "Package": "ata",
  "Title": "Automated Test Assembly",
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  "Date": "2020-11-06",
  "Authors@R": "c(\nperson(given = \"Gulsah\",\nfamily = \"Gurkan\",\nrole = c(\"aut\"),\nemail = \"gurkangulsah@gmail.com\"),\nperson(given = \"Michael\",\nfamily = \"Chajewski\",\nrole = c(\"aut\",\"cre\"),\nemail = \"mchajewski@hotmail.com\"),\nperson(given = \"Sam\",\nfamily = \"Buttrey\",\nrole = c(\"cph\"),\nemail = \"buttrey@nps.edu\"))",
  "Author": "Gulsah Gurkan [aut], Michael Chajewski [aut, cre], Sam Buttrey\n[cph]",
  "Maintainer": "Michael Chajewski <mchajewski@hotmail.com>",
  "Description": "Provides a collection of psychometric methods to process\nitem metadata and use target assessment and measurement\nblueprint constraints to assemble a test form. Currently two\nautomatic test assembly (ata) approaches are enabled. For\nexample, the weighted (positive) deviations method, wdm(),\nproposed by Swanson and Stocking (1993)\n<doi:10.1177/014662169301700205> was implemented in its full\nspecification allowing for both item selection as well as test\nform refinement. The linear constraint programming approach,\natalp(), uses the linear equation solver by Berkelaar et. al\n(2014) <http://lpsolve.sourceforge.net/5.5/> to enable a\nvariety of approaches to select items.",
  "License": "LGPL-2",
  "Copyright": "file COPYRIGHTS",
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  "Packaged": {
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    "User": "root"
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  "Repository": "https://chajewski.r-universe.dev",
  "Date/Publication": "2020-11-10 14:20:08 UTC",
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      "title": "Automated Test Assembly via Linear Constrained Programming",
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