R: Logistic Ordinal Regression Differential Item Functioning using IRT

# Logistic Ordinal Regression Differential Item Functioning using IRT

## Documentation for package ‘lordif’ version 0.4.2

- DESCRIPTION file
- Package README

## Help Pages

lordif-package | Logistic Ordinal Regression Differential Item Functioning using IRT
Anxiety | A Measure of Anxiety
calcprob | calculates item response probabilities
calctheta | calculates EAP theta estimates and associated standard errors
collapse | collapses response categories
DFIT | calculates DFIT statistics
equate | performs Stocking-Lord Equating
extract | extracts IRT item parameters
getcutoff | determines a cutoff threshold
lordif | performs Logistic Ordinal Regression Differential Item Functioning using IRT
montecarlo | performs Monte Carlo simulations to generate empirical distributions
permute | performs permutation test for empirical cutoff thresholds
plot.lordif | Plot method for lordif class
plot.lordif.MC | Plot method for Monte Carlo simulation output
probgpcm | calculates item response probabilities according to GPCM
probgrm | calculates item response probabilities according to GRM
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)