Package: grassr Type: Package Title: Context-Conditioned Reporting for Binary Rater Reliability Version: 0.6.2 Authors@R: c( person("Austin", "Semmel", email = "austinsemmel@gmail.com", role = c("aut", "cre")), person("Rachel", "Gidaro", role = "aut")) Description: 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). License: MIT + file LICENSE Encoding: UTF-8 Depends: R (>= 4.0) Imports: stats Suggests: boot, ggplot2, broom, future, future.apply, irr, irrCAC, patchwork, progressr, knitr, lme4 (>= 1.1-30), rmarkdown, testthat (>= 3.0.0), viridisLite VignetteBuilder: knitr Config/testthat/edition: 3 RoxygenNote: 7.3.2 Roxygen: list(markdown = TRUE) URL: https://defense031.github.io/grassr/, https://github.com/defense031/grassr BugReports: https://github.com/defense031/grassr/issues Repository: https://defense031.r-universe.dev Date/Publication: 2026-07-09 19:11:02 UTC RemoteUrl: https://github.com/defense031/grassr RemoteRef: HEAD RemoteSha: d66f4b38f51acc6967574c9ccf12444ea0019639 NeedsCompilation: no Packaged: 2026-07-22 07:37:26 UTC; root Author: Austin Semmel [aut, cre], Rachel Gidaro [aut] Maintainer: Austin Semmel