DIFboost

Author: Gunther Schauberger
Contact: https://cran.r-project.org/web/packages/DIFboost/index.html
Description: DIFboost: Detection of Differential Item Functioning (DIF) in Rasch Models by Boosting Techniques. Performs detection of Differential Item Functioning using the method DIFboost as proposed in Schauberger and Tutz (2015): Detection of Differential item functioning in Rasch models by boosting techniques, British Journal of Mathematical and Statistical Psychology.
Analyses: Cognitive Diagnostic Models; Item & Test Analysis; Multidimensional Models
System Requirements: Windows, Mac OS, & Linux
Measurement Model: Rasch
License Type: Open-Source (R)
Documentation: user manual