Package: DIFboost 0.3

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>.

Authors:Gunther Schauberger

DIFboost_0.3.tar.gz
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DIFboost.pdf |DIFboost.html✨
DIFboost/json (API)

# Install 'DIFboost' in R:
install.packages('DIFboost', repos = c('https://schaubert.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1 exports 0.00 score 16 dependencies 8 scripts 237 downloads

Last updated 4 years agofrom:81371a9922. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 16 2024
R-4.5-winOKSep 16 2024
R-4.5-linuxOKSep 16 2024
R-4.4-winOKSep 16 2024
R-4.4-macOKSep 16 2024
R-4.3-winOKSep 16 2024
R-4.3-macOKSep 16 2024

Exports:DIFboost

Dependencies:FormulainumlatticelibcoinMatrixmboostmvtnormnnlspartykitpenalizedquadprogRcppRcppArmadillorpartstabssurvival