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:	1.5.1-1
Depends:	R (≥ 4.0.0)
Imports:	calculus, ggplot2 (≥ 3.4.0), msm, nnet, plyr, stats, VGAM
Suggests:	ShinyItemAnalysis, testthat (≥ 3.0.0)
Published:	2025-03-03
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

Documentation:

Reference manual:

difNLR.pdf

Downloads:

Package source:	difNLR_1.5.1-1.tar.gz
Windows binaries:	r-devel: difNLR_1.5.0.zip, r-release: difNLR_1.5.1-1.zip, r-oldrel: difNLR_1.5.0.zip
macOS binaries:	r-devel (arm64): difNLR_1.5.1-1.tgz, r-release (arm64): difNLR_1.5.1-1.tgz, r-oldrel (arm64): difNLR_1.5.1-1.tgz, r-devel (x86_64): difNLR_1.5.1-1.tgz, r-release (x86_64): difNLR_1.5.1-1.tgz, r-oldrel (x86_64): difNLR_1.5.1-1.tgz
Old sources:	difNLR archive

Reverse dependencies:

Reverse imports:	SIAmodules
Reverse suggests:	ShinyItemAnalysis

Linking:

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