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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.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_1.0.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:	autoFC

Linking:

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