Assessment of Agreement using the Total Deviation Index

The total deviation index (TDI) is an unscaled statistical measure used to evaluate the deviation between paired quantitative measurements when assessing the extent of agreement between different raters. It describes a boundary such that a large specified proportion of the differences in paired measurements are within the boundary (Lin, 2000) . This R package implements some methodologies existing in the literature for TDI estimation and inference in the case of two raters.


TDIagree: Assessment of Agreement using the Total Deviation Index

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The total deviation index (TDI) is an unscaled statistical measure used to evaluate the deviation between paired quantitative measurements when assessing the extent of agreement between different raters. It describes a boundary such that a large specified proportion of the differences in paired measurements are within the boundary (Lin, 2000). This R package implements some methodologies existing in the literature for TDI estimation and inference in the case of two raters.

Installation

The TDIagree package can be installed from CRAN:

install.packages("TDIagree")

To install the GitHub version:

# install.packages("remotes")
remotes::install_github("BiMaU-PCCB/TDIagree")

Reference manual

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install.packages("TDIagree")

0.3.0 by Anna Felip-Badia, 12 days ago


https://github.com/BiMaU-PCCB/TDIagree, https://bimau-pccb.github.io/TDIagree/


Browse source code at https://github.com/cran/TDIagree


Authors: Anna Felip-Badia [aut, cre] (ORCID: , Sara Perez-Jaume [aut] , Josep L Carrasco [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports boot, gt, multcomp, nlme, stats, plotfunctions, katex, furniture, graphics, knitr

Suggests cccrm, rmarkdown


See at CRAN