{ "_id": "6acf513cd9de2f3f33fcad1e", "Package": "DFIT", "Title": "Differential Functioning of Items and Tests", "Version": "1.2", "Date": "2021-12-30", "Author": "Victor H. Cervantes ", "Maintainer": "Victor H. Cervantes ", "Description": "A set of functions to perform Raju, van der Linden and\nFleer's (1995, ) Differential\nFunctioning of Items and Tests (DFIT) analyses. It includes\nfunctions to use the Monte Carlo Item Parameter Replication\napproach (Oshima, Raju, & Nanda, 2006,\n) for obtaining the\nassociated statistical significance tests cut-off points. They\nmay also be used for a priori and post-hoc power calculations\n(Cervantes, 2017, ).", "License": "GPL (>= 2)", "LazyData": "true", "NeedsCompilation": "no", "Encoding": "UTF-8", "RoxygenNote": "7.2.1", "Config/pak/sysreqs": "cmake make libuv1-dev libx11-dev", "Repository": "https://herulor.r-universe.dev", "Date/Publication": "2024-06-24 17:52:49 UTC", "RemoteUrl": "https://github.com/herulor/dfit", "RemoteRef": "HEAD", "RemoteSha": "ea8ddaae0b1b53708660f61a346c577faa182325", "Packaged": { "Date": "2026-10-14 09:01:47 UTC", "User": "root" }, "_user": "herulor", "_type": "src", "_file": "DFIT_1.2.tar.gz", "_fileid": "https://r2.ropensci.org/c29d3aceecbef6578f999bb5e59587bddbc970d085e9ace5013ce98781d8de2c", "_filesize": 261380, "_sha256": "c29d3aceecbef6578f999bb5e59587bddbc970d085e9ace5013ce98781d8de2c", "_expires": "2027-01-22T09:54:02.000Z", "_created": "2026-10-14T09:01:47.000Z", "_published": "2026-10-14T09:54:04.055Z", "_buildurl": "https://github.com/r-universe/herulor/actions/runs/38538930079", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 115770381893, "time": 190, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "11881239457" }, { "job": 115770381684, "time": 179, "config": "linux-release-x86_64", "r": "4.6.1", "check": "WARNING", "artifact": "11881314240" }, { "job": 115770381914, "time": 314, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "WARNING", "artifact": "11884466241" }, { "job": 115770381822, "time": 218, "config": "macos-release-arm64", "r": "4.6.1", "check": "WARNING", "artifact": "11884705186" }, { "job": 115768772381, "time": 239, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11880929237" }, { "job": 115770381698, "time": 130, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11881572087" }, { "job": 115770381750, "time": 201, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "11882095729" }, { "job": 115770381726, "time": 165, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "WARNING", "artifact": "11881269214" }, { "job": 115770381796, "time": 200, "config": "windows-release-x86_64", "r": "4.6.1", "check": "WARNING", "artifact": "11881512585" } ], "_upstream": "https://github.com/herulor/dfit", "_commit": { "id": "ea8ddaae0b1b53708660f61a346c577faa182325", "author": "herulor ", "committer": "herulor ", "message": "Again... try to sync with Trung's changes\n", "time": 1719251569 }, "_maintainer": { "name": "Victor H. 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Cervantes", "followers": 5 }, "_downloads": { "count": 553, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/DFIT" }, "_devurl": "https://github.com/herulor/dfit", "_searchresults": 27, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/DFIT.html", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt" ], "_homeurl": "https://github.com/herulor/dfit", "_realowner": "herulor", "_cranurl": true, "_releases": [ { "version": "1.0", "date": "2014-05-20" }, { "version": "1.0-1", "date": "2014-07-15" }, { "version": "1.0-2", "date": "2015-02-01" }, { "version": "1.0-3", "date": "2017-01-06" }, { "version": "1.1", "date": "2021-08-17" } ], "_exports": [ "AseIrt", "Bound3PlIpr", "Bound4PlIpr", "Cdif", "CutoffIpr", "DeltaMhIrt", "Dtf", "ExtractMirtPars", "Ipr", "IprMG", "IprMGNcdif", "IprMh", "IprNcdif", "IprSam", "IprUam", "IrtMh", "MGNcdif", "Ncdif", "PlotNcdif", "SignedArea", "UnsignedArea" ], "_datasets": [ { "name": "dichotomousItemParameters", "title": "Sets of focal and reference item parameters from Wright (2011).", "object": "dichotomousItemParameters", "class": [ "list" ], "fields": [], "table": true, "tojson": true }, { "name": "polytomousItemParameters", "title": "Sets of focal and reference item parameters from Raju et al. (2009)", "object": "polytomousItemParameters", "class": [ "list" ], "fields": [], "table": true, "tojson": true } ], "_help": [ { "page": "Ase1pl", "title": "Calculates the asymptotic variance for difficulty parameter estimates under the 1pl model", "topics": [ "Ase1pl" ] }, { "page": "Ase2pl", "title": "Calculates the asymptotic covariance matrix of item parameter estimates under the 2pl model", "topics": [ "Ase2pl" ] }, { "page": "Ase3pl", "title": "Calculates the asymptotic covariance matrix of item parameter estimates under the 3pl model", "topics": [ "Ase3pl" ] }, { "page": "AseIrt", "title": "Calculates the asymptotic covariance matrices for item parameters according with the IRT model.", "topics": [ "AseIrt" ] }, { "page": "Bound3PlIpr", "title": "Takes item parameters from Ipr and forces guessing to lie between 0 and 1", "topics": [ "Bound3PlIpr" ] }, { "page": "Bound4PlIpr", "title": "Takes item parameters from Ipr and forces guessing to lie between 0 and 1", "topics": [ "Bound4PlIpr" ] }, { "page": "Calculate1plProb", "title": "Calculates the item success probability under the 1PL model.", "topics": [ "Calculate1plProb" ] }, { "page": "Calculate2plProb", "title": "Calculates the item success probability under the 2PL model.", "topics": [ "Calculate2plProb" ] }, { "page": "Calculate3plProb", "title": "Calculates the item success probability under the 3PL model.", "topics": [ "Calculate3plProb" ] }, { "page": "Calculate4plProb", "title": "Calculates the item success probability under the 4PL model.", "topics": [ "Calculate4plProb" ] }, { "page": "CalculateGrmExp", "title": "Calculates the expected item score under the GRM model.", "topics": [ "CalculateGrmExp" ] }, { "page": "CalculateItemDifferences", "title": "Calculates the differences between two item option characteristic curves for all options (minus one).", "topics": [ "CalculateItemDifferences" ] }, { "page": "CalculatePcmExp", "title": "Calculates the expected item score under the (G)PCM model.", "topics": [ "CalculatePcmExp" ] }, { "page": "Cdif", "title": "Calculates CDIF index for an item with given item parameters of focal and reference groups.", "topics": [ "Cdif" ] }, { "page": "CheckDiscriminations", "title": "Identifies items with nonpositive discrimination", "topics": [ "CheckDiscriminations" ] }, { "page": "CheckGuessings", "title": "Identifies items with guessing outside [0, 1]", "topics": [ "CheckGuessings" ] }, { "page": "CheckUpper", "title": "Identifies items with upper asymptote outside [0, 1]", "topics": [ "CheckUpper" ] }, { "page": "CrossedProbabilities", "title": "Calculates the crossed probabilities associated with the numerator and denominator of the odds-ratio under dichotomous IRT models", "topics": [ "CrossedProbabilities" ] }, { "page": "CutoffIpr", "title": "Cut-off points for Ipr generated estimates", "topics": [ "CutoffIpr" ] }, { "page": "DeltaMhIrt", "title": "Obtains the ETS Delta measure for Mantel-Haneszel DIF statistic effect size.", 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asymptote parameters and estimate covariance estimates for 4PL items from a fitted mirt object for one or two groups", "topics": [ "Extract4PLMirt" ] }, { "page": "ExtractGPCMMirt", "title": "Extract item discrimination and difficulties and estimate covariance estimates for GPCM items from a fitted mirt object for one or two groups", "topics": [ "ExtractGPCMMirt" ] }, { "page": "ExtractGRMMirt", "title": "Extract item discrimination and difficulties and estimate covariance estimates for GRM items from a fitted mirt object for one or two groups", "topics": [ "ExtractGRMMirt" ] }, { "page": "ExtractMirtPars", "title": "Extracts the item parameters from a unidimensional mirt model", "topics": [ "ExtractMirtPars" ] }, { "page": "ExtractRaschMirt", "title": "Extract item difficulties and item difficulty variance estimates for Rasch items from a fitted mirt object for one or two groups", "topics": [ "ExtractRaschMirt" ] }, { "page": "Ipr", "title": "Item parameter replication", "topics": [ "Ipr" ] }, { "page": "IprMG", "title": "Item parameter replication", "topics": [ "IprMG" ] }, { "page": "IprMGNcdif", "title": "MGNCDIF for Item parameter replication", "topics": [ "IprMGNcdif" ] }, { "page": "IprMh", "title": "Mantel Haenszel for Item parameter replication", "topics": [ "IprMh" ] }, { "page": "IprNcdif", "title": "NCDIF for Item parameter replication", "topics": [ "IprNcdif" ] }, { "page": "IprSam", "title": "Signed Area Measure for Item parameter replication", "topics": [ "IprSam" ] }, { "page": "IprUam", "title": "Unsigned Area Measure for Item parameter replication", "topics": [ "IprUam" ] }, { "page": "IrtMh", "title": "Calculates the Mantel-Haenszel theoretical parameter when a dichotomous IRT model holds", "topics": [ "IrtMh" ] }, { "page": "MGNcdif", "title": "Calculates the MG-NCDIF index for an item with given item parameters of two or more groups.", "topics": [ "MGNcdif" ] }, { "page": "Ncdif", "title": "Calculates NCDIF index for an item with given item 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