irrCAC: Computing the Extent of Agreement among Raters with Chance-Corrected Agreement Coefficient (CAC)

Contains a series of R functions for calculating various chance-corrected agreement coefficients (CAC) among 2 or more raters. Among the CAC coefficients covered are Cohen's kappa, Conger's kappa, Fleiss' kappa, Brennan-Prediger coefficient, Gwet's AC1/AC2 coefficients, and Krippendorff's alpha. Multiple sets of weights are proposed for computing weighted analyses. Also included in this package is Bangdiwala's B coefficient.

Version: 1.4
Depends: R (≥ 3.5.0)
Imports: dplyr, magrittr, tidyr, stringr, tibble
Suggests: knitr, rmarkdown, spelling
Published: 2026-04-27
DOI: 10.32614/CRAN.package.irrCAC
Author: Kilem L. Gwet [aut, cre]
Maintainer: Kilem L. Gwet <gwet at agreestat.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: irrCAC results

Documentation:

Reference manual: irrCAC.html , irrCAC.pdf
Vignettes: irrCAC-benchmarking (source, R code)
irrCAC: Calculating Chance-corrected Agreement Coefficients (CAC) (source, R code)
irrCAC: Computing weighted agreement coefficients (source, R code)

Downloads:

Package source: irrCAC_1.4.tar.gz
Windows binaries: r-devel: not available, r-release: irrCAC_1.4.zip, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): irrCAC_1.4.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: irrCAC archive

Linking:

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