Package: krippendorffsalpha 2.0-3

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:10.1016/j.jspi.2024.106170> 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 [aut, cre]

krippendorffsalpha_2.0-3.tar.gz
krippendorffsalpha_2.0-3.zip(r-4.7-any)krippendorffsalpha_2.0-3.zip(r-4.6-any)krippendorffsalpha_2.0-3.zip(r-4.5-any)
krippendorffsalpha_2.0-3.tgz(r-4.6-any)krippendorffsalpha_2.0-3.tgz(r-4.5-any)
krippendorffsalpha_2.0-3.tar.gz(r-4.7-any)krippendorffsalpha_2.0-3.tar.gz(r-4.6-any)
krippendorffsalpha_2.0-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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.

1.18 score 15 scripts 366 downloads 4 exports 0 dependencies

Last updated from:ecef3a9be7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK144
source / vignettesOK208
linux-releaseOK121
macos-releaseOK104
macos-oldrelOK105
windows-develOK61
windows-releaseOK51
windows-oldrelOK79
wasm-releaseOK84

Exports:interval.distkrippendorffs.alphanominal.distratio.dist

Dependencies: