{ "_id": "6a35168e3efcd9bda43e0f7e", "Package": "RSCAT", "Title": "Shadow-Test Approach to Computerized Adaptive Testing", "Version": "1.1.3", "Authors@R": "c(\nperson(\"Bingnan\", \"Jiang\", email = \"bnjiangece@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"ACT, Inc.\", role = \"cph\")\n)", "Author": "Bingnan Jiang [aut, cre], ACT, Inc. [cph]", "Maintainer": "Bingnan Jiang ", "BugReports": "https://github.com/act-org/RSCAT/issues", "Description": "As an advanced approach to computerized adaptive testing\n(CAT), shadow testing (van der Linden(2005)\n) dynamically assembles entire\nshadow tests as a part of selecting items throughout the\ntesting process. Selecting items from shadow tests guarantees\nthe compliance of all content constraints defined by the\nblueprint. 'RSCAT' is an R package for the shadow-test approach\nto CAT. The objective of 'RSCAT' is twofold: 1) Enhancing the\neffectiveness of shadow-test CAT simulation; 2) Contributing to\nthe academic and scientific community for CAT research. RSCAT\nis currently designed for dichotomous items based on the\nthree-parameter logistic (3PL) model.", "License": "CC BY-NC 4.0", "Encoding": "UTF-8", "RoxygenNote": "7.1.1", "Collate": "'EAPConfig.R' 'SimResult.R' 'configClasses.R' 'launchApp.R'\n'runSim.R' 'scoreMethodConfig.R' 'shinyAppServer.R'\n'shinyAppUI.R' 'utilFunctions.R' 'zzz.R'", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-19 10:11:37 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2021-10-12 15:40:06 UTC", "RemoteUrl": "https://github.com/cran/RSCAT", "RemoteRef": "HEAD", "RemoteSha": "4a4f7c54d421df87921e5802f343f3952938186c", "MD5sum": "ed6298749c73915fadbd023fc9a184eb", "_user": "cran", "_type": "src", "_file": "RSCAT_1.1.3.tar.gz", "_fileid": "6fdc60b2f302ca34b3cf09201eb3cf2321888f3171f739c3b4d6519c588e8a4c", "_filesize": 474627, "_sha256": "6fdc60b2f302ca34b3cf09201eb3cf2321888f3171f739c3b4d6519c588e8a4c", "_created": "2026-06-19T10:11:37.000Z", "_published": 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