Package: goweragreement 1.0-1

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
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goweragreement.pdf |goweragreement.html
goweragreement/json (API)

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

Peer review:

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

On CRAN:

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 272 downloads 4 exports 0 dependencies

Last updated 2 months agofrom:51f8acf69a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 11 2024
R-4.5-winOKOct 11 2024
R-4.5-linuxOKOct 11 2024
R-4.4-winOKOct 11 2024
R-4.4-macOKOct 11 2024
R-4.3-winOKOct 11 2024
R-4.3-macOKOct 11 2024

Exports:discrete.distgower.agreehpdL1.dist

Dependencies: