irrCAC: Computing Chance-Corrected Agreement Coefficients (CAC)

Calculates various chance-corrected agreement coefficients (CAC) among 2 or more raters are provided. 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. All of these statistical procedures are described in details in Gwet, K.L. (2014,ISBN:978-0970806284): "Handbook of Inter-Rater Reliability," 4th edition, Advanced Analytics, LLC.

Version: 1.0
Suggests: knitr, rmarkdown
Published: 2019-09-23
DOI: 10.32614/CRAN.package.irrCAC
Author: Kilem L. Gwet, Ph.D.
Maintainer: Kilem L. Gwet <gwet at agreestat.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: irrCAC results

Documentation:

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

Downloads:

Package source: irrCAC_1.0.tar.gz
Windows binaries: r-devel: irrCAC_1.0.zip, r-release: irrCAC_1.0.zip, r-oldrel: irrCAC_1.0.zip
macOS binaries: r-release (arm64): irrCAC_1.0.tgz, r-oldrel (arm64): irrCAC_1.0.tgz, r-release (x86_64): irrCAC_1.0.tgz, r-oldrel (x86_64): irrCAC_1.0.tgz

Reverse dependencies:

Reverse depends: GreyZones
Reverse imports: aifeducation, autoFC

Linking:

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