kgwet/pairedCAC: Testing the difference of correlated agreement coefficients for statistical significance

pairedCAC is an R package that provides a series of functions to test the difference of 2 Chance-corrected Agreement Coefficients (CAC) for statistical significance. The CAC statistics covered are the percent agreement, Fleiss' generalized kappa (includes Scott's pi as a special case), Conger's generalized kappa (includes Cohen's kappa as a special case), Gwet's AC1/AC2, Krippendorff's alpha, and Brennan-Prediger coefficient (includes PABAK as a special case).

install.packages("remotes")
remotes::install_github("kgwet/pairedCAC")