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Package overview

difNLR-package
DIF and DDF Detection by Non-Linear Regression Models.

Core functions

difNLR()
DIF detection using non-linear regression method.
difORD()
DIF detection among ordinal data.
ddfMLR()
DDF detection for nominal data.
genNLR()
Generates data set based on generalized logistic regression DIF and DDF models.

Helper functions

startNLR()
Calculates starting values for non-linear regression DIF models.
estimNLR() logLik(<estimNLR>) coef(<estimNLR>) fitted(<estimNLR>) residuals(<estimNLR>) print(<estimNLR>) vcov(<estimNLR>)
Non-linear regression DIF models estimation.
formulaNLR()
Creates a formula for non-linear regression DIF models.
MLR()
DDF likelihood ratio statistics based on multinomial log-linear regression model.
NLR()
DIF statistics for non-linear regression models.
ORD()
DIF likelihood ratio statistics for ordinal data.

Utilities

coef(<difNLR>)
Extract item parameter estimates from an object of the "difNLR" class.
logLik(<difNLR>) AIC(<difNLR>) BIC(<difNLR>)
Log-likelihood and information criteria for an object of the "difNLR" class.
plot(<difNLR>)
ICC and test statistics plots for an object of the "difNLR" class.
predict(<difNLR>)
Predicted values for an object of the "difNLR" class.
fitted(<difNLR>) residuals(<difNLR>)
Fitted values and residuals for an object of the "difNLR" class.
coef(<difORD>)
Extract model coefficients from an object of "difORD" class.
logLik(<difORD>) AIC(<difORD>) BIC(<difORD>)
Log-likelihood and information criteria for an object of "difORD" class.
plot(<difORD>)
ICC plots for an object of "difORD" class.
predict(<difORD>)
Predicted values for an object of "difORD" class.
coef(<ddfMLR>)
Extract model coefficients from an object of "ddfMLR" class.
logLik(<ddfMLR>) AIC(<ddfMLR>) BIC(<ddfMLR>)
Log-likelihood and information criteria for an object of "ddfMLR" class.
plot(<ddfMLR>)
ICC plots for an object of "ddfMLR" class.
predict(<ddfMLR>)
Predicted values for an object of "ddfMLR" class.

Data

GMAT
Dichotomous dataset based on GMAT with the same total score distribution for groups.
GMATkey
Key of correct answers for GMATtest dataset.
GMATtest
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.
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.