R: Differential Item Functioning for AI-Scored Assessments

# Differential Item Functioning for AI-Scored Assessments

## Documentation for package ‘aiDIF’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

ai_effect_summary | Summarise the effect of AI scoring on DIF flagging.
anchor_weights | Anchor item weights from the robust AI-DIF procedure.
estimate_robust_scale | Robust DIF scale estimation via IRLS
fit_aidif | Fit the AI-DIF model
make_aidif_eg | Built-in example dataset for aiDIF
plot.aidif | S3 plot method for class '"aidif"'.
print.aidif | S3 print method for class '"aidif"'.
read_ai_scored | Validate and bundle paired human/AI parameter estimates
scoring_bias_test | Differential AI Scoring Bias (DASB) test.
simulate_aidif_data | Simulate item parameter estimates for the AI-DIF model.
summary.aidif | S3 summary method for class '"aidif"'.