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.

AuthorGunther Schauberger
Date of publication2016-07-22 14:58:37
MaintainerGunther Schauberger <gunther@stat.uni-muenchen.de>

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.