{ "_id": "6a103b7bacfb0bcc41c9b815", "Package": "GPCMlasso", "Type": "Package", "Title": "Differential Item Functioning in Generalized Partial Credit\nModels", "Version": "0.1-9", "Date": "2026-05-11", "Authors@R": "person(given = \"Gunther\",\nfamily = \"Schauberger\",\nrole = c(\"aut\", \"cre\"),\nemail = \"gunther.schauberger@tum.de\")", "Maintainer": "Gunther Schauberger ", "Description": "Provides a framework to detect Differential Item\nFunctioning (DIF) in Generalized Partial Credit Models (GPCM)\nand special cases of the GPCM as proposed by Schauberger and\nMair (2019) . A joint model is\nset up where DIF is explicitly parametrized and penalized\nlikelihood estimation is used for parameter selection. The big\nadvantage of the method called GPCMlasso is that several\nvariables can be treated simultaneously and that both\ncontinuous and categorical variables can be used to detect DIF.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "Config/roxygen2/version": "8.0.0", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-11 11:06:09 UTC", "User": "root" }, "Author": "Gunther Schauberger [aut, cre]", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libx11-dev", "Repository": "https://schaubert.r-universe.dev", "Date/Publication": "2026-05-11 08:39:27 UTC", "RemoteUrl": "https://github.com/cran/GPCMlasso", "RemoteRef": "HEAD", "RemoteSha": "1e1572cde152b21605ad990d0a2568b7ae040154", "MD5sum": "34315a60c4b99a10a695af981b558ea2", "_user": "schaubert", "_type": "src", "_file": "GPCMlasso_0.1-9.tar.gz", "_fileid": "7b29b6c9ac5cc5a5d447621fbf6a1c9784b242f02030f07e42421af51d5a8998", "_filesize": 182154, "_sha256": "7b29b6c9ac5cc5a5d447621fbf6a1c9784b242f02030f07e42421af51d5a8998", 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