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.