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.

Package details

AuthorGunther Schauberger
MaintainerGunther Schauberger <[email protected]>
LicenseGPL-2
Version0.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("DIFboost")

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DIFboost documentation built on May 29, 2017, 6:32 p.m.