Package: krippendorffsalpha 2.0

krippendorffsalpha: Measuring Agreement Using Krippendorff's Alpha Coefficient

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.

Authors:John Hughes

krippendorffsalpha_2.0.tar.gz
krippendorffsalpha_2.0.zip(r-4.7)krippendorffsalpha_2.0.zip(r-4.6)krippendorffsalpha_2.0.zip(r-4.5)
krippendorffsalpha_2.0.tgz(r-4.6-any)krippendorffsalpha_2.0.tgz(r-4.5-any)
krippendorffsalpha_2.0.tar.gz(r-4.7-any)krippendorffsalpha_2.0.tar.gz(r-4.6-any)
krippendorffsalpha_2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
krippendorffsalpha/json (API)

# Install 'krippendorffsalpha' in R:
install.packages('krippendorffsalpha', repos = c('https://drjphughesjr.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • cartilage - Data from an MRI study of hip cartilage in femoroacetabular impingement.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.11 score 13 scripts 360 downloads 4 exports 0 dependencies

Last updated from:a7065fce14. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK107
source / vignettesOK143
linux-release-x86_64OK107
macos-release-arm64OK117
macos-oldrel-arm64OK69
windows-develOK76
windows-releaseOK71
windows-oldrelOK62
wasm-releaseOK93

Exports:interval.distkrippendorffs.alphanominal.distratio.dist

Dependencies: