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goweragreement  

Bayesian Gower Agreement for Categorical Data
View on CRAN: Click here


Download and install goweragreement package within the R console
Install from CRAN:
install.packages("goweragreement")

Install from Github:
library("remotes")
install_github("cran/goweragreement")

Install by package version:
library("remotes")
install_version("goweragreement", "1.0-1")



Attach the package and use:
library("goweragreement")
Maintained by
John Hughes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-02
Latest Update: 2024-09-10
Description:
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.
How to cite:
John Hughes (2024). goweragreement: Bayesian Gower Agreement for Categorical Data. R package version 1.0-1, https://cran.r-project.org/web/packages/goweragreement. Accessed 07 Jun. 2026.
Previous versions and publish date:
1.0 (2024-02-02 20:50)
Other packages that cited goweragreement R package
View goweragreement citation profile
Other R packages that goweragreement depends, imports, suggests or enhances
Complete documentation for goweragreement
Functions, R codes and Examples using the goweragreement R package
Some associated functions: L1.dist . confint.gower . discrete.dist . gower.agree . hpd . influence.gower . liver . summary.gower . 
Some associated R codes: data.R . gower.R . zzz.R .  Full goweragreement package functions and examples
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