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: 1.2.1
Depends: R (≥ 3.1), CTT, ggplot2 (≥ 2.2.1), methods, msm, nnet, reshape2, stats
Published: 2018-03-05
Author: Adela Drabinova [aut, cre], Patricia Martinkova [aut], Karel Zvara [aut]
Maintainer: Adela Drabinova <drabinova at cs.cas.cz>
BugReports: https://github.com/drabinova/difNLR/issues
License: GPL-3
NeedsCompilation: no
Citation: difNLR citation info
Materials: README NEWS
In views: Psychometrics
CRAN checks: difNLR results

Downloads:

Reference manual: difNLR.pdf
Package source: difNLR_1.2.1.tar.gz
Windows binaries: r-prerel: difNLR_1.2.1.zip, r-release: difNLR_1.2.1.zip, r-oldrel: difNLR_1.2.1.zip
OS X binaries: r-prerel: difNLR_1.2.1.tgz, r-release: difNLR_1.2.1.tgz
Old sources: difNLR archive

Reverse dependencies:

Reverse imports: ShinyItemAnalysis

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