Logistic Regression Differential Item Functioning using IRT

Documentation for package ‘lordif’ version 0.1-10

lordif-package	LOgistic Regression Differential Item Functioning using IRT
Anxiety	A Measure of Anxiety
calcprob	calculates item response probabilities
calctheta	calculates EAP theta and associated standard error
collapse	collapses response categories
equate	performs Stocking-Lord Equating
extract	extracts item parameters
getcutoff	determines a cutoff threshold
lordif	performs LOgistic Regression Differential Item Functioning using IRT
montecarlo	performs Monte Carlo simulations for empirical cutoff thresholds
plot.lordif	Plot method for lordif class
plot.lordif.MC	Plot method for Monte Carlo simulation output
probgrm	calculates item response probabilities
recode	recodes item responses
rundif	runs ordinal logistic regression DIF
runolr	runs ordinal logistic regression models
separate	splits item response vectors of DIF items by group
tcc	computes a test characteristic curve (tcc)