Learn R Programming

⚠️There's a newer version (3.0-3) of this package.Take me there.

sklarsomega (version 3.0-2)

Measuring Agreement Using Sklar's Omega Coefficient

Description

Provides tools for applying Sklar's Omega (Hughes, 2018) methodology to nominal scores, ordinal scores, percentages, counts, amounts (i.e., non-negative real numbers), and balances (i.e., any real number). The framework can accommodate any number of units, any number of coders, and missingness; and can be used to measure agreement with a gold standard, intra-coder agreement, and/or inter-coder agreement. Frequentist inference is supported for all levels of measurement. Bayesian inference is supported for continuous scores only.

Copy Link

Version

Install

install.packages('sklarsomega')

Monthly Downloads

288

Version

3.0-2

License

GPL (>= 2)

Maintainer

John Hughes

Last Published

April 4th, 2023

Functions in sklarsomega (3.0-2)

vcov.sklarsomega

Compute an estimated covariance matrix for a Sklar's Omega fit.
summary.sklarsomega

Print a summary of a Sklar's Omega fit.
residuals.sklarsomega

Extract model residuals.
simulate.sklarsomega

Simulate a Sklar's Omega dataset(s).
sklars.omega

Apply Sklar's Omega.
sklars.omega.bayes

Do Bayesian inference for Sklar's Omega.
build.R

Build a Sklar's Omega correlation matrix.
baplot

Produce a Bland-Altman plot.
cartilage

Data from an MRI study of hip cartilage in femoroacetabular impingement.
confint.sklarsomega

Compute confidence/credible intervals for Sklar's Omega.
nobs.sklarsomega

Return the number of observations for a Sklar's Omega fit.
logLik.sklarsomega

Return the maximum of the Sklar's Omega log objective function.
check.colnames

Check the column names of a Sklar's Omega data matrix for correctness.
influence.sklarsomega

Compute DFBETAs for units and/or coders.
qcat

Compute the quantile function for a categorical distribution.
pcat

Compute the cumulative distribution function for a categorical distribution.