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mvalpha: Krippendorff's Alpha for Multi-Valued Data

Calculate Krippendorff's alpha for multi-valued data using the methods introduced by Krippendorff and Craggs (2016) <doi:10.1080/19312458.2016.1228863>. Nominal, ordinal, interval, and ratio data types are supported, with option to create bootstrapped estimates of alpha.

Version: 0.6.0
Depends: R (≥ 4.2.0)
Imports: stats, utils, rlang, Rdpack, Rcpp, arrangements, stringr
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0)
Published: 2026-06-16
DOI: 10.32614/CRAN.package.mvalpha
Author: Corie Drake ORCID iD [aut, cre, cph]
Maintainer: Corie Drake <therealcfdrake at gmail.com>
BugReports: https://github.com/therealcfdrake/mvalpha/issues
License: AGPL (≥ 3)
URL: https://github.com/therealcfdrake/mvalpha
NeedsCompilation: yes
SystemRequirements: OpenMP
Citation: mvalpha citation info
Materials: NEWS
CRAN checks: mvalpha results [issues need fixing before 2026-06-30]

Documentation:

Reference manual: mvalpha.html , mvalpha.pdf

Downloads:

Package source: mvalpha_0.6.0.tar.gz
Windows binaries: r-devel: mvalpha_0.6.0.zip, r-release: mvalpha_0.6.0.zip, r-oldrel: mvalpha_0.6.0.zip
macOS binaries: r-release (arm64): mvalpha_0.6.0.tgz, r-oldrel (arm64): mvalpha_0.6.0.tgz, r-release (x86_64): mvalpha_0.6.0.tgz, r-oldrel (x86_64): mvalpha_0.6.0.tgz
Old sources: mvalpha archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mvalpha to link to this page.

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.