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irrCAC  

Computing Chance-Corrected Agreement Coefficients (CAC)
View on CRAN: Click here


Download and install irrCAC package within the R console
Install from CRAN:
install.packages("irrCAC")

Install from Github:
library("remotes")
install_github("cran/irrCAC")

Install by package version:
library("remotes")
install_version("irrCAC", "1.0")



Attach the package and use:
library("irrCAC")
Maintained by
Kilem L. Gwet
[Scholar Profile | Author Map]
First Published: 2019-09-23
Latest Update: 2019-09-23
Description:
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.
How to cite:
Kilem L. Gwet (2019). irrCAC: Computing Chance-Corrected Agreement Coefficients (CAC). R package version 1.0, https://cran.r-project.org/web/packages/irrCAC. Accessed 09 Apr. 2025.
Previous versions and publish date:
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Complete documentation for irrCAC
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