Package: difNLR 1.5.3-1

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>).

Authors:Adela Hladka [aut, cre], Patricia Martinkova [aut], Karel Zvara [ctb]

difNLR_1.5.3-1.tar.gz
difNLR_1.5.3-1.zip(r-4.7)difNLR_1.5.3-1.zip(r-4.6)difNLR_1.5.3-1.zip(r-4.5)
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difNLR_1.5.3-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
difNLR/json (API)

# Install 'difNLR' in R:

install.packages('difNLR', repos = c('https://adelahladka.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/adelahladka/difnlr/issues

Pkgdown/docs site:https://adelahladka.github.io

Datasets:

GMAT - Dichotomous dataset based on GMAT with the same total score distribution for groups.
GMAT2 - Dichotomous dataset based on GMAT.
GMAT2key - Key of correct answers for 'GMAT2test' dataset.
GMAT2test - Dataset based on GMAT.
GMATkey - Key of correct answers for 'GMATtest' dataset.
GMATtest - Dataset based on GMAT with the same total score distribution for groups.
MSATB - Dichotomous dataset of Medical School Admission Test in Biology.
MSATBkey - Key of correct answers for 'MSATBtest' dataset.
MSATBtest - Dataset of School Admission Test in Biology.

On CRAN:

differential-item-functioning item-analysis psychometrics statistics

6.77 score 6 stars 1 packages 55 scripts 437 downloads 10 exports 34 dependencies

Last updated from:bc0969a0c4. Checks:7 OK, 2 ERROR. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	364
source / vignettes	OK	284
linux-release-x86_64	OK	1174
macos-release-arm64	ERROR	314
macos-oldrel-arm64	ERROR	270
windows-devel	OK	369
windows-release	OK	440
windows-oldrel	OK	434
wasm-release	OK	136

Exports:ddfMLR difNLR difORD estimNLR formulaNLR genNLR MLR NLR ORD startNLR

Dependencies:calculus cli cpp11 expm farver generics ggplot2 glue gtable isoband labeling lattice lifecycle magrittr Matrix msm mvtnorm nnet pillar pkgconfig plyr R6 RColorBrewer Rcpp rlang S7 scales survival tibble utf8 vctrs VGAM viridisLite withr

Quick Start with the difNLR() function

Load package | Load data | DIF detection with generalized logistic regression models | Plot item characteristic curves

Rendered fromdifNLR-quick_start.Rmdusingknitr::rmarkdown

Last update: 2026-01-08
Started: 2026-01-08

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
DIF and DDF Detection by Non-Linear Regression Models.	difNLR-package
Extract model coefficients from an object of '"ddfMLR"' class.	coef.ddfMLR coefficients.ddfMLR
Extract item parameter estimates from an object of the '"difNLR"' class.	coef.difNLR coefficients.difNLR
Extract model coefficients from an object of '"difORD"' class.	coef.difORD coefficients.difORD
DDF detection for nominal data.	ddfMLR
DIF detection using non-linear regression method.	difNLR
DIF detection among ordinal data.	difORD
Non-linear regression DIF models estimation.	coef.estimNLR estimNLR fitted.estimNLR logLik.estimNLR print.estimNLR residuals.estimNLR vcov.estimNLR
Fitted values and residuals for an object of the '"difNLR"' class.	fitted.difNLR resid.difNLR residuals.difNLR
Creates a formula for non-linear regression DIF models.	formulaNLR
Generates data set based on generalized logistic regression DIF and DDF models.	genNLR
Dichotomous dataset based on GMAT with the same total score distribution for groups.	GMAT
Dichotomous dataset based on GMAT.	GMAT2
Key of correct answers for 'GMAT2test' dataset.	GMAT2key
Dataset based on GMAT.	GMAT2test
Key of correct answers for 'GMATtest' dataset.	GMATkey
Dataset based on GMAT with the same total score distribution for groups.	GMATtest
Log-likelihood and information criteria for an object of '"ddfMLR"' class.	AIC.ddfMLR BIC.ddfMLR logLik.ddfMLR
Log-likelihood and information criteria for an object of the '"difNLR"' class.	AIC.difNLR BIC.difNLR logLik.difNLR
Log-likelihood and information criteria for an object of '"difORD"' class.	AIC.difORD BIC.difORD logLik.difORD
DDF likelihood ratio statistics based on multinomial log-linear regression model.	MLR
Dichotomous dataset of Medical School Admission Test in Biology.	MSATB
Key of correct answers for 'MSATBtest' dataset.	MSATBkey
Dataset of School Admission Test in Biology.	MSATBtest
DIF statistics for non-linear regression models.	NLR
DIF likelihood ratio statistics for ordinal data.	ORD
ICC plots for an object of '"ddfMLR"' class.	plot.ddfMLR
ICC and test statistics plots for an object of the '"difNLR"' class.	plot.difNLR
ICC plots for an object of '"difORD"' class.	plot.difORD
Predicted values for an object of '"ddfMLR"' class.	predict.ddfMLR
Predicted values for an object of the '"difNLR"' class.	predict.difNLR
Predicted values for an object of '"difORD"' class.	predict.difORD
Calculates starting values for non-linear regression DIF models.	startNLR