robustDIF: Differential Item Functioning Using Robust Scaling

Provides tools for testing differential item functioning (DIF) and differential test functioning (DTF) in two-group item response theory models. The package estimates robust scaling parameters via iteratively reweighted least squares with Tukey's bisquare loss, and supports Wald-type tests of item-level and test-level differences from robust scaling parameters. Inputs can be supplied directly from model parameter/covariance objects or extracted from fitted 'mirt' and 'lavaan' models. Methods are described in Halpin (2022) <doi:10.48550/arXiv.2207.04598>.

Version:	0.2.0
Depends:	R (≥ 3.5.0), Matrix
Imports:	mirt, lavaan
Suggests:	testthat (≥ 3.0.0)
Published:	2026-04-21
DOI:	10.32614/CRAN.package.robustDIF
Author:	Peter Halpin [aut, cre], Kyle Nickodem [ctb], James Eagle [ctb]
Maintainer:	Peter Halpin <peter.halpin at unc.edu>
License:	GPL (≥ 3)
NeedsCompilation:	no
Materials:	README
CRAN checks:	robustDIF results

Documentation:

Reference manual:

robustDIF.html , robustDIF.pdf

Downloads:

Package source:	robustDIF_0.2.0.tar.gz
Windows binaries:	r-devel: robustDIF_0.2.0.zip, r-release: robustDIF_0.2.0.zip, r-oldrel: robustDIF_0.2.0.zip
macOS binaries:	r-release (arm64): robustDIF_0.2.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): robustDIF_0.2.0.tgz, r-oldrel (x86_64): robustDIF_0.2.0.tgz

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