Intersectional Differential Item Functioning Analysis R package iDIFr version 1.0.1 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. Software 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 Thomas Rogers <thomas.rogers@britishcouncil.org> Comprehensive R Archive Network (CRAN) Thomas Rogers [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=iDIFr/LICENSE) 2026-06-08 application/tgz https://CRAN.R-project.org/package=iDIFr doi:10.32614/CRAN.package.iDIFr