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 (Hladka & Martinkova, 2020, <doi:10.32614/RJ-2020-014>).
| Version: | 1.5.2-2 |
| Depends: | R (≥ 4.0.0) |
| Imports: | calculus,ggplot2 (≥ 3.4.0),msm,nnet,plyr, stats,VGAM |
| Suggests: | ShinyItemAnalysis,testthat (≥ 3.0.0),vdiffr |
| Published: | 2025-11-19 |
| 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 |
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