AyaMitani/modelkappa: Calculates model-based kappa for agreement and association and their standard errors

Computes the population-based measures of agreement for binary classification, and agreement and association ordinal classification. The measures are based on results from generalized linear mixed model (GLMM) with crossed-random effects. Observed agreement (and association) are estimated while minimizing chance agreement (and association).

Getting started

Package details

AuthorAya Mitani
MaintainerThe package maintainer <amitani@hsph.harvard.edu>
LicenseWhat license is it under?
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("AyaMitani/modelkappa")
AyaMitani/modelkappa documentation built on Nov. 20, 2019, 6:21 a.m.