sklarsomega: Measuring Agreement Using Sklar's Omega Coefficient

Provides tools for applying Sklar's Omega (Hughes, 2018) <doi:10.48550/arXiv.1803.02734> 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:	3.0-2
Imports:	extraDistr, hash, LaplacesDemon, Matrix, mcmcse, numDeriv, spam, dfoptim
Suggests:	lattice, parallel, pbapply
Published:	2023-04-04
DOI:	10.32614/CRAN.package.sklarsomega
Author:	John Hughes
Maintainer:	John Hughes <drjphughesjr at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	sklarsomega results

Documentation:

Reference manual:

sklarsomega.pdf

Downloads:

Package source:	sklarsomega_3.0-2.tar.gz
Windows binaries:	r-devel: sklarsomega_3.0-2.zip, r-release: sklarsomega_3.0-2.zip, r-oldrel: sklarsomega_3.0-2.zip
macOS binaries:	r-release (arm64): sklarsomega_3.0-2.tgz, r-oldrel (arm64): sklarsomega_3.0-2.tgz, r-release (x86_64): sklarsomega_3.0-2.tgz, r-oldrel (x86_64): sklarsomega_3.0-2.tgz
Old sources:	sklarsomega archive

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