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Methods to detect differential item functioning (DIF) in dichotomous and polytomous items, using both classical and modern approaches. These include Mantel-Haenszel procedures, logistic regression (including ordinal models), and regularization-based methods such as LASSO. Uniform and non-uniform DIF effects can be detected, and some methods support multiple focal groups. The package also provides tools for anchor purification, rest score matching, effect size estimation, and DIF simulation. See Magis, Beland, Tuerlinckx, and De Boeck (2010, Behavior Research Methods, 42, 847–862, <doi:10.3758/BRM.42.3.847>) for a general overview.
| Version: | 6.0.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | mirt, ltm, lme4, deltaPlotR, DescTools, VGAM, glmnet |
| Published: | 2025-05-26 |
| DOI: | 10.32614/CRAN.package.difR |
| Author: | David Magis [aut] (IQVIA Belux), Sebastien Beland [aut, cre] (Universite de Montreal), Carl F. Falk [aut] (McGill University), Gilles Raiche [aut] (UQAM) |
| Maintainer: | Sebastien Beland <sebastien.beland at umontreal.ca> |
| BugReports: | https://github.com/343Babou/difR/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/343Babou/difR |
| NeedsCompilation: | no |
| Citation: | difR citation info |
| Materials: | NEWS |
| In views: | Psychometrics |
| CRAN checks: | difR results |
| Reference manual: | difR.pdf |
| Package source: | difR_6.0.0.tar.gz |
| Windows binaries: | r-devel: difR_6.0.0.zip, r-release: difR_6.0.0.zip, r-oldrel: difR_6.0.0.zip |
| macOS binaries: | r-release (arm64): difR_6.0.0.tgz, r-oldrel (arm64): difR_6.0.0.tgz, r-release (x86_64): difR_6.0.0.tgz, r-oldrel (x86_64): difR_6.0.0.tgz |
| Old sources: | difR archive |
| Reverse imports: | DIFshiny, ShinyItemAnalysis, TestAnaAPP |
| Reverse suggests: | LSAmitR |
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These binaries (installable software) and packages are in development.
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