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.

Install the latest version of this package by entering the following in R:
install.packages("DIFboost")
AuthorGunther Schauberger
Date of publication2016-07-22 14:58:37
MaintainerGunther Schauberger <gunther@stat.uni-muenchen.de>
LicenseGPL-2
Version0.2

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