DIFboost: Detection of Differential Item Functioning (DIF) in Rasch Models by Boosting Techniques
Version 0.2

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
Date of publication2016-07-22 14:58:37
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.