landis.koch

This dataset contains information describing the Landis &amp; Koch scale for benchmarking chance-corrected agreement 
coefficients such as Gwet AC1/AC2, Kappa and many others.

datasets

Calculates various chance-corrected agreement coefficients (CAC) among 2 or more raters are provided.
Among the CAC coefficients covered are Cohen's kappa, Conger's kappa, Fleiss' kappa, Brennan-Prediger coefficient, Gwet's AC1/AC2
coefficients, and Krippendorff's alpha. Multiple sets of weights are proposed for computing weighted analyses. All of these statistical
procedures are described in details in Gwet, K.L. (2014,ISBN:978-0970806284): "Handbook of Inter-Rater Reliability," 4th edition,
Advanced Analytics, LLC.

Kilem Gwet

irrCAC

Computing Chance-Corrected Agreement Coefficients (CAC)

landis.koch function

Each row of this dataset describes an interval and the interpretation of the magnitude it represents.<dl class="dl-horizontal">
 <dt>lb.LK</dt><dd>The interval lower bound</dd>
 <dt>ub.LK</dt><dd>The interval upper bound</dd>
 <dt>interp.LK</dt><dd>The interpretation</dd>
 </dl>

Format

Dataset describing the Landis &amp; Koch Benchmarking Scale — landis.koch

Each row of this dataset describes an interval and the interpretation of the magnitude it represents.<dl class='dl-horizontal'>
 <dt>lb.LK</dt><dd>The interval lower bound</dd>
 <dt>ub.LK</dt><dd>The interval upper bound</dd>
 <dt>interp.LK</dt><dd>The interpretation</dd>
 </dl>

landis.koch: Dataset describing the Landis & Koch Benchmarking Scale

Description

Usage

Arguments

Format