Measuring Agreement Using Sklar's Omega Coefficient

Provides tools for applying Sklar's Omega (Hughes, 2022) methodology to nominal scores, ordinal scores, percentages, counts, amounts (i.e., non-negative real numbers), and balances (i.e., any real number). The framework can accommodate any number of units, any number of coders, and missingness; and can be used to measure agreement with a gold standard, intra-coder agreement, and/or inter-coder agreement. Frequentist inference is supported for all levels of measurement. Bayesian inference is supported for continuous scores only.


Reference manual

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install.packages("sklarsomega")

3.0-3 by John Hughes, a year ago


Browse source code at https://github.com/cran/sklarsomega


Authors: John Hughes [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports extraDistr, hash, LaplacesDemon, Matrix, mcmcse, numDeriv, spam, dfoptim

Suggests lattice, parallel, pbapply


See at CRAN