{ "_id": "6ad7197ed556c3a3418a68ef", "Package": "eRm", "Type": "Package", "Title": "Extended Rasch Modeling", "Version": "1.0-10", "Date": "2025-05-27", "Authors@R": "c(person(given=\"Patrick\", family=\"Mair\", email=\"mair@fas.harvard.edu\", role=c(\"cre\",\"aut\")),\nperson(given=\"Thomas\", family=\"Rusch\", email=\"thomas.rusch@wu.ac.at\", role=\"aut\"),\nperson(given=\"Reinhold\", family=\"Hatzinger\", role=\"aut\"),\nperson(given=c(\"Marco\", \"J.\"), family=\"Maier\", role=\"aut\"),\nperson(given=\"Rudolf\", family=\"Debelak\", email=\"rudolf.debelak@psychologie.uzh.ch\", role=\"ctb\"))", "Description": "Fits Rasch models (RM), linear logistic test models\n(LLTM), rating scale model (RSM), linear rating scale models\n(LRSM), partial credit models (PCM), and linear partial credit\nmodels (LPCM). Missing values are allowed in the data matrix.\nAdditional features are the ML estimation of the person\nparameters, Andersen's LR-test, item-specific Wald test,\nMartin-Loef-Test, nonparametric Monte-Carlo Tests, itemfit and\npersonfit statistics including infit and outfit measures, ICC\nand other plots, automated stepwise item elimination,\nsimulation module for various binary data matrices.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "yes", "LazyLoad": "yes", "ByteCompile": "yes", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-20 07:27:27 UTC", "User": "root" }, "Author": "Patrick Mair [cre, aut], Thomas Rusch [aut], Reinhold Hatzinger\n[aut], Marco J. 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