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: | 
1.5.1-4 | 
| Depends: | 
R (≥ 4.0.0) | 
| Imports: | 
calculus, ggplot2 (≥ 3.4.0), msm, nnet, plyr, stats, VGAM | 
| Suggests: | 
ShinyItemAnalysis, testthat (≥ 3.0.0), vdiffr | 
| Published: | 
2025-06-30 | 
| 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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