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 is positioned on a data-generating-process-calibrated reference surface conditioned on the study's rater count, sample size, and prevalence, yielding a pooled percentile (the coefficient's position within the design's achievable agreement range) together with a consistency band on panel quality: the quality levels whose sampling distributions are consistent with the observed value at that design. The panel coefficients are the prevalence-adjusted bias-adjusted kappa (PABAK) of Byrt, Bishop, and Carlin (1993) <doi:10.1016/0895-4356(93)90018-V>, the first-order agreement coefficient (AC1) of Gwet (2008) <doi:10.1348/000711006X126600>, the multi-rater kappa of Fleiss (1971) <doi:10.1037/h0031619>, and the observed intraclass correlation. A cross-coefficient discordance diagnostic (delta-hat) reports the spread of the coefficients' implied panel qualities and flags panels for which no single coefficient is a stable summary by the spread's percentile on a matched null distribution; for such divergent panels the report routes to a pairwise PABAK matrix and per-rater sensitivity and specificity recovered from the latent-class model of Dawid and Skene (1979) <doi:10.2307/2346806>, with the two-rater bounds of Hui and Walter (1980) <doi:10.2307/2530508>.

Version:	0.7.4
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
Published:	2026-07-21
DOI:	10.32614/CRAN.package.grassr
Author:	Austin Semmel [aut, cre], Rachel Gidaro [aut]
Maintainer:	Austin Semmel <austinsemmel at gmail.com>
BugReports:	https://github.com/defense031/grassr/issues
License:	MIT + file LICENSE
URL:	https://defense031.github.io/grassr/, https://github.com/defense031/grassr
NeedsCompilation:	no
Citation:	grassr citation info
Materials:	README, NEWS
CRAN checks:	grassr results

Documentation:

Reference manual:	grassr.html , grassr.pdf
Vignettes:	grassr: rater reliability on binary outcomes, from rating matrix to Report Card (source)

Downloads:

Package source:	grassr_0.7.4.tar.gz
Windows binaries:	r-devel: grassr_0.7.4.zip, r-release: grassr_0.7.4.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): grassr_0.7.4.tgz, r-oldrel (arm64): grassr_0.7.4.tgz, r-release (x86_64): grassr_0.7.4.tgz, r-oldrel (x86_64): grassr_0.7.4.tgz

Linking:

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