Package: difNLR 1.4.3

Adela Hladka

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]

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difNLR.pdf |difNLR.html✨
difNLR/json (API)
NEWS

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

Peer review:

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

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-functioningitem-analysispsychometricsstatistics

4.66 score 6 stars 1 packages 51 scripts 570 downloads 10 exports 38 dependencies

Last updated 10 months agofrom:9b18ce651e. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winNOTEOct 30 2024
R-4.3-macNOTEOct 30 2024

Exports:ddfMLRdifNLRdifORDestimNLRformulaNLRgenNLRMLRNLRORDstartNLR

Dependencies:calculusclicolorspaceexpmfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmsmmunsellmvtnormnlmennetpillarpkgconfigplyrR6RColorBrewerRcpprlangscalessurvivaltibbleutf8vctrsVGAMviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
DIF and DDF Detection by Non-Linear Regression Models.difNLR-package _PACKAGE
Extract model coefficients from an object of '"ddfMLR"' class.coef.ddfMLR coefficients.ddfMLR
Extract model coefficients from an object of '"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
Nonlinear 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 '"difNLR"' class.fitted.difNLR resid.difNLR residuals.difNLR
Formula for non-linear regression DIF model.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 '"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 based on non-linear regression model.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 '"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 '"difNLR"' class.predict.difNLR
Predicted values for an object of '"difORD"' class.predict.difORD
Calculates starting values for non-linear regression DIF models.startNLR