Package: goweragreement 1.0-1

John Hughes

goweragreement: Bayesian Gower Agreement for Categorical Data

Provides tools for applying the Bayesian Gower agreement methodology (presented in the package vignette) to nominal or ordinal data. The framework can accommodate any number of units, any number of coders, and missingness; and can handle both one-way and two-way random study designs. Influential units and/or coders can be identified easily using leave-one-out statistics.

Authors:John Hughes [aut, cre]

goweragreement_1.0-1.tar.gz
goweragreement_1.0-1.tar.gz(r-4.5-noble)goweragreement_1.0-1.tar.gz(r-4.4-noble)
goweragreement_1.0-1.tgz(r-4.4-emscripten)goweragreement_1.0-1.tgz(r-4.3-emscripten)
goweragreement.pdf |goweragreement.html
goweragreement/json (API)

# Install 'goweragreement' in R:
install.packages('goweragreement', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • liver - Ordinal data from a radiological study of congenital diaphragmatic hernia.

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

1.30 score 1 scripts 150 downloads 4 exports 0 dependencies

Last updated 4 months agofrom:51f8acf69a. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 09 2025
R-4.5-linuxOKJan 09 2025

Exports:discrete.distgower.agreehpdL1.dist

Dependencies: