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robustDIF  

Differential Item Functioning Using Robust Scaling
View on CRAN: Click here


Download and install robustDIF package within the R console
Install from CRAN:
install.packages("robustDIF")

Install from Github:
library("remotes")
install_github("cran/robustDIF")

Install by package version:
library("remotes")
install_version("robustDIF", "0.2.0")



Attach the package and use:
library("robustDIF")
Maintained by
Peter Halpin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-21
Latest Update: 2026-04-21
Description:
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>.
How to cite:
Peter Halpin (2026). robustDIF: Differential Item Functioning Using Robust Scaling. R package version 0.2.0, https://cran.r-project.org/web/packages/robustDIF. Accessed 26 Oct. 2026.
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