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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:

Please use the canonical form https://CRAN.R-project.org/package=difR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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