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.

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

Getting started

Package overview

Popular man pages

DIFboost: Detection of Differential Item Functioning (DIF) in Rasch...
DIFboost-package: DIFboost
print.DIFboost: Print function for DIFboost
simul.data: Simulated data set
See all...

All man pages Function index File listing

Man pages

DIFboost: Detection of Differential Item Functioning (DIF) in Rasch...
DIFboost-package: DIFboost
print.DIFboost: Print function for DIFboost
simul.data: Simulated data set

Functions

DIFboost Man page Source code
DIFboost-package Man page
print.DIFboost Man page Source code
simul.data Man page

Files

NAMESPACE
data
data/simul.data.rda
R
R/DIFboost.R
R/print.DIFboost.R
R/DIFboost-internal.R
MD5
DESCRIPTION
man
man/DIFboost.Rd
man/simul.data.Rd
man/print.DIFboost.Rd
man/DIFboost-package.Rd
DIFboost documentation built on May 19, 2017, 4:24 p.m.

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