retestR 0.1.0
- Initial release.
- Expected-gain model for repeaters fitted by marginal ML, robust to
preknowledge (
rt_fit()).
- Posterior-predictive evidence: score gain, exposed-item performance,
response speed (
rt_evidence()).
- Risk index calibrated by parametric bootstrap with explicit
false-positive rates (
rt_risk()).
- Raw-gain baseline (
rt_raw_gain()) and known-truth
simulation (rt_simulate()).