difNLR: DIF and DDF Detection by Non-Linear Regression Models

Detection of differential item functioning (DIF) among dichotomously scored items and differential distractor functioning (DDF) among unscored items with non-linear regression procedures based on generalized logistic regression models (Drabinova and Martinkova, 2017, doi:10.1111/jedm.12158).

Version: 1.3.0
Depends: R (≥ 3.1)
Imports: CTT, ggplot2 (≥ 2.2.1), grDevices, methods, msm, nnet, plyr, reshape2, stats, VGAM
Published: 2019-08-20
Author: Adela Hladka [aut, cre], Patricia Martinkova [aut], Karel Zvara [ctb]
Maintainer: Adela Hladka <hladka at cs.cas.cz>
BugReports: https://github.com/adelahladka/difNLR/issues
License: GPL-3
NeedsCompilation: no
Citation: difNLR citation info
Materials: README NEWS
In views: Psychometrics
CRAN checks: difNLR results


Reference manual: difNLR.pdf
Package source: difNLR_1.3.0.tar.gz
Windows binaries: r-devel: difNLR_1.3.0.zip, r-devel-gcc8: difNLR_1.3.0.zip, r-release: difNLR_1.3.0.zip, r-oldrel: difNLR_1.3.0.zip
OS X binaries: r-release: difNLR_1.3.0.tgz, r-oldrel: difNLR_1.3.0.tgz
Old sources: difNLR archive

Reverse dependencies:

Reverse imports: ShinyItemAnalysis


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