sklarsomega: Measuring Agreement Using Sklar's Omega Coefficient

Provides tools for applying Sklar's Omega (Hughes, 2018) <arXiv:1803.02734> methodology to nominal, ordinal, interval, or ratio scores. 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 interval and ratio scores.

Version: 2.0-1
Imports: extraDistr, hash, LaplacesDemon, Matrix, mcmcse, numDeriv, spam
Suggests: lattice, parallel, pbapply
Published: 2020-05-08
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

Downloads:

Reference manual: sklarsomega.pdf
Package source: sklarsomega_2.0-1.tar.gz
Windows binaries: r-devel: sklarsomega_2.0-1.zip, r-devel-UCRT: sklarsomega_2.0-1.zip, r-release: sklarsomega_2.0-1.zip, r-oldrel: sklarsomega_2.0-1.zip
macOS binaries: r-release (arm64): sklarsomega_2.0-1.tgz, r-release (x86_64): sklarsomega_2.0-1.tgz, r-oldrel: sklarsomega_2.0-1.tgz
Old sources: sklarsomega archive

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