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 (Hladka & Martinkova, 2020, <doi:10.32614/RJ-2020-014>).
Version: | 1.4.2-1 |
Depends: | R (≥ 3.1) |
Imports: | calculus, ggplot2 (≥ 3.4.0), msm, nnet, plyr, stats, VGAM |
Suggests: | ShinyItemAnalysis |
Published: | 2023-05-03 |
DOI: | 10.32614/CRAN.package.difNLR |
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_1.4.2-1.tar.gz |
Windows binaries: | r-devel: difNLR_1.4.2-1.zip, r-release: difNLR_1.4.2-1.zip, r-oldrel: difNLR_1.4.2-1.zip |
macOS binaries: | r-release (arm64): difNLR_1.4.2-1.tgz, r-oldrel (arm64): difNLR_1.4.2-1.tgz, r-release (x86_64): difNLR_1.4.2-1.tgz, r-oldrel (x86_64): difNLR_1.4.2-1.tgz |
Old sources: | difNLR archive |
Reverse imports: | SIAmodules |
Reverse suggests: | ShinyItemAnalysis |
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