difR: Collection of Methods to Detect Dichotomous Differential Item Functioning (DIF)

Provides a collection of standard methods to detect differential item functioning among dichotomously scored items. Methods for uniform and non-uniform DIF, based on test-score or IRT methods, for comparing two or more than two groups of respondents, are available (Magis, Beland, Tuerlinckx and De Boeck,A General Framework and an R Package for the Detection of Dichotomous Differential Item Functioning, Behavior Research Methods, 42, 2010, 847-862 <doi:10.3758/BRM.42.3.847>).

Version: 5.1
Depends: R (≥ 3.0.0)
Imports: mirt, ltm, lme4, deltaPlotR
Published: 2020-05-13
Author: David Magis (U Liege), Sebastien Beland (U Montreal) and Gilles Raiche (UQAM)
Maintainer: David Magis <david.magis at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: difR citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: difR results

Documentation:

Reference manual: difR.pdf

Downloads:

Package source: difR_5.1.tar.gz
Windows binaries: r-devel: difR_5.1.zip, r-release: difR_5.1.zip, r-oldrel: difR_5.1.zip
macOS binaries: r-release (arm64): difR_5.1.tgz, r-oldrel (arm64): difR_5.1.tgz, r-release (x86_64): difR_5.1.tgz, r-oldrel (x86_64): difR_5.1.tgz
Old sources: difR archive

Reverse dependencies:

Reverse imports: DIFshiny, ShinyItemAnalysis
Reverse suggests: LSAmitR

Linking:

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