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: | 1.4.1 |
| Depends: | R (≥ 3.1) |
| Imports: | calculus, ggplot2 (≥ 2.2.1), msm, nnet, plyr, stats, VGAM |
| Suggests: | ShinyItemAnalysis |
| Published: | 2022-04-18 |
| 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_1.4.1.tar.gz |
| Windows binaries: | r-devel: difNLR_1.4.1.zip, r-release: difNLR_1.4.1.zip, r-oldrel: difNLR_1.4.1.zip |
| macOS binaries: | r-release (arm64): difNLR_1.4.1.tgz, r-oldrel (arm64): difNLR_1.4.1.tgz, r-release (x86_64): difNLR_1.4.1.tgz, r-oldrel (x86_64): difNLR_1.4.1.tgz |
| Old sources: | difNLR archive |
| Reverse suggests: | ShinyItemAnalysis |
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