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