{ "_id": "6a3bda265cdecea1d6838534", "Package": "GDINA", "Type": "Package", "Title": "The Generalized DINA Model Framework", "Version": "2.11.4", "Date": "2026-06-02", "Authors@R": "c(person(given = \"Wenchao\",family = \"Ma\", role = c(\"aut\", \"cre\", \"cph\"),email = \"wma@umn.edu\"),person(given = \"Jimmy\", family = \"de la Torre\", role = c(\"aut\",\"cph\")), person(given=\"Miguel\",family = \"Sorrel\",role = \"ctb\"), person(given=\"Zhehan\",family = \"Jiang\",role = \"ctb\"),person(given=\"Pablo\",family = \"Najera\",role = \"ctb\"))", "Description": "A set of psychometric tools for cognitive diagnosis\nmodeling based on the generalized deterministic inputs, noisy\nand gate (G-DINA) model by de la Torre (2011)\n and its extensions, including\nthe sequential G-DINA model by Ma and de la Torre (2016)\n for polytomous responses, and the\npolytomous G-DINA model by Chen and de la Torre\n for polytomous attributes. Joint\nattribute distribution can be independent, saturated,\nhigher-order, loglinear smoothed or structured. Q-matrix\nvalidation, item and model fit statistics, model comparison at\ntest and item level and differential item functioning can also\nbe conducted. A graphical user interface is also provided. For\ntutorials, please check Ma and de la Torre (2020)\n, Ma and de la Torre (2019)\n, Ma (2019)\n and de la Torre and Akbay\n(2019).", "License": "GPL-3", "LazyData": "TRUE", "URL": "https://github.com/Wenchao-Ma/GDINA,\nhttps://wenchao-ma.github.io/GDINA/", "BugReports": "https://github.com/Wenchao-Ma/GDINA/issues", "Encoding": "UTF-8", "NeedsCompilation": "yes", "Author": "Wenchao Ma [aut, cre, cph], Jimmy de la Torre [aut, cph],\nMiguel Sorrel [ctb], Zhehan Jiang [ctb], Pablo Najera [ctb]", "Maintainer": "Wenchao Ma ", "VignetteBuilder": "knitr", "Collate": "'CA.R' 'CM.R' 'CR.R' 'DTM.R' 'ExportedFuncs.R' 'GDINA.R'\n'GDI.R' 'GDINA-package.R' 'GMSCDM.R' 'HO.R' 'ILCA.R' 'M2.R'\n'MCmodel.R' 'Mstep.R' 'Mstep_DTM.R'\n'MultipleGroup_Estimation.R' 'RcppExports.R'\n'SingleGroup_Estimation.R' 'anova.GDINA.R' 'autoGDINA.R'\n'bootSE.R' 'coef.R' 'dif.R' 'estimation_utils.R' 'simGDINA.R'\n'itemfit.R' 'modelcomp.R' 'extract.R' 'itemfitPD.R'\n'itemparm.GDINA.R' 'monocheck.R' 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