grassr - Context-Conditioned Reporting for Binary Rater Reliability

Generates a Report Card for rater reliability on binary outcomes from an N x k subject-by-rater rating matrix, on both the inter-rater and intra-rater axes. Each panel coefficient (PABAK, Gwet's AC1, Fleiss' kappa, and observed intraclass correlation) is positioned on a simulation-calibrated reference surface conditioned on the study's rater count, sample size, and prevalence, yielding a surface-position percentile with a bootstrap confidence qualifier. A cross-coefficient discordance diagnostic (delta-hat), with per-design thresholds calibrated to fixed false-positive rates, flags panels for which no single coefficient is a stable summary; for such divergent panels the report routes to a pairwise PABAK matrix and per-rater sensitivity and specificity recovered from a Dawid-Skene latent-class fit (Hui-Walter bounds at k = 2).