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 by Schauberger and Tutz (2016) <doi:10.1111/bmsp.12060>.

Version: 0.3
Imports: mboost, penalized, stabs
Published: 2020-06-11
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger at tum.de>
License: GPL-2
NeedsCompilation: no
In views: Psychometrics
CRAN checks: DIFboost results

Downloads:

Reference manual: DIFboost.pdf
Package source: DIFboost_0.3.tar.gz
Windows binaries: r-devel: DIFboost_0.3.zip, r-release: DIFboost_0.3.zip, r-oldrel: DIFboost_0.3.zip
macOS binaries: r-release (arm64): DIFboost_0.3.tgz, r-release (x86_64): DIFboost_0.3.tgz, r-oldrel: DIFboost_0.3.tgz
Old sources: DIFboost archive

Reverse dependencies:

Reverse suggests: EffectStars2

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