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iDIFr: Intersectional Differential Item Functioning Analysis

A toolkit for detecting Differential Item Functioning (DIF) using Logistic Regression (LR) as described in Swaminathan and Rogers (1990) <doi:10.1111/j.1745-3984.1990.tb00754.x>, the IRT Likelihood Ratio Test (LRT) following Thissen, Steinberg & Wainer (1993, ISBN:0-8058-0972-4), and model-based recursive partitioning (MOB) as implemented in 'strucchange' following Strobl, Kopf and Zeileis (2015) <doi:10.1007/s11336-013-9388-3>. Designed for both standard two-group and intersectional multi-group designs, 'iDIFr' prioritises effect size reporting alongside statistical significance, clear guidance on group construction, and interpretable output suitable for applied testing contexts. Built-in Intersectional Contrast Analysis (ICA) classifies items as amplified, pure-intersection, obscured, or none by comparing single-variable and intersectional analyses.

Version: 1.0.1
Depends: R (≥ 4.1.0)
Imports: Rcpp (≥ 1.0.0), generics, parallel, stats, cli, dplyr, ggplot2, rlang, strucchange
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, openxlsx
Published: 2026-06-08
DOI: 10.32614/CRAN.package.iDIFr (may not be active yet)
Author: Thomas Rogers [aut, cre]
Maintainer: Thomas Rogers <thomas.rogers at britishcouncil.org>
BugReports: https://github.com/thmsrgrs/iDIFr/issues
License: MIT + file LICENSE
URL: https://github.com/thmsrgrs/iDIFr
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: iDIFr results

Documentation:

Reference manual: iDIFr.html , iDIFr.pdf
Vignettes: Getting started with iDIFr (source, R code)

Downloads:

Package source: iDIFr_1.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: iDIFr_1.0.1.zip, r-oldrel: not available
macOS binaries: r-release (arm64): iDIFr_1.0.1.tgz, r-oldrel (arm64): iDIFr_1.0.1.tgz, r-release (x86_64): iDIFr_1.0.1.tgz, r-oldrel (x86_64): iDIFr_1.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=iDIFr 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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