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Provides tools for applying Krippendorff's Alpha methodology <doi:10.1080/19312450709336664>. Both the customary methodology and Hughes' methodology <doi:10.48550/arXiv.2210.13265> are supported, the former being preferred for larger datasets, the latter for smaller datasets. The framework supports common and user-defined distance functions, and can accommodate any number of units, any number of coders, and missingness. Interval estimation can be done in parallel for either methodology.
| Version: | 2.0 |
| Suggests: | parallel, pbapply, spam, testthat (≥ 3.0.0) |
| Published: | 2022-10-25 |
| Author: | John Hughes |
| Maintainer: | John Hughes <drjphughesjr at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.johnhughes.org |
| NeedsCompilation: | no |
| CRAN checks: | krippendorffsalpha results |
| Reference manual: | krippendorffsalpha.pdf |
| Package source: | krippendorffsalpha_2.0.tar.gz |
| Windows binaries: | r-devel: krippendorffsalpha_2.0.zip, r-release: krippendorffsalpha_2.0.zip, r-oldrel: krippendorffsalpha_2.0.zip |
| macOS binaries: | r-release (arm64): krippendorffsalpha_2.0.tgz, r-oldrel (arm64): krippendorffsalpha_2.0.tgz, r-release (x86_64): krippendorffsalpha_2.0.tgz, r-oldrel (x86_64): krippendorffsalpha_2.0.tgz |
| Old sources: | krippendorffsalpha archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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