sklarsomega: Measuring Agreement Using Sklar's Omega Coefficient
Provides tools for applying Sklar's Omega (Hughes, 2022) <doi:10.1007/s11222-022-10105-2>
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.
| Version: |
3.0-3 |
| Imports: |
extraDistr, hash, LaplacesDemon, Matrix, mcmcse, numDeriv, spam, dfoptim |
| Suggests: |
lattice, parallel, pbapply |
| Published: |
2025-07-24 |
| DOI: |
10.32614/CRAN.package.sklarsomega |
| Author: |
John Hughes [aut, cre] |
| Maintainer: |
John Hughes <drjphughesjr at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| CRAN checks: |
sklarsomega results |
Documentation:
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