difR: Collection of Methods to Detect Dichotomous and Polytomous
Differential Item Functioning (DIF)
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 |
Documentation:
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