Package: DIFboost 0.4

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 [aut, cre]

DIFboost_0.4.tar.gz
DIFboost_0.4.zip(r-4.7)DIFboost_0.4.zip(r-4.6)DIFboost_0.4.zip(r-4.5)
DIFboost_0.4.tgz(r-4.6-any)DIFboost_0.4.tgz(r-4.5-any)
DIFboost_0.4.tar.gz(r-4.7-any)DIFboost_0.4.tar.gz(r-4.6-any)
DIFboost_0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DIFboost/json (API)

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

On CRAN:

Conda:

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

1.00 score 8 scripts 248 downloads 1 exports 16 dependencies

Last updated from:bcdbd65309. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK124
source / vignettesOK173
linux-release-x86_64OK125
macos-release-arm64OK99
macos-oldrel-arm64OK90
windows-develOK78
windows-releaseOK127
windows-oldrelOK91
wasm-releaseOK93

Exports:DIFboost

Dependencies:FormulainumlatticelibcoinMatrixmboostmvtnormnnlspartykitpenalizedquadprogRcppRcppArmadillorpartstabssurvival