TDIagree: 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) <https://pubmed.ncbi.nlm.nih.gov/10641028/>. This R package implements some methodologies existing in the literature for TDI estimation and inference in the case of two raters.

Version:	0.1.1
Depends:	R (≥ 4.1.0)
Imports:	boot, gt, multcomp, nlme, stats, plotfunctions, coxed, katex
Published:	2025-05-19
DOI:	10.32614/CRAN.package.TDIagree
Author:	Anna Felip-Badia [aut, cre], Sara Perez-Jaume [aut], Josep L Carrasco [aut]
Maintainer:	Anna Felip-Badia <annafelipibadia at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	TDIagree results

Documentation:

Reference manual:

TDIagree.pdf

Downloads:

Package source:	TDIagree_0.1.1.tar.gz
Windows binaries:	r-devel: TDIagree_0.1.1.zip, r-release: TDIagree_0.1.1.zip, r-oldrel: TDIagree_0.1.1.zip
macOS binaries:	r-release (arm64): TDIagree_0.1.1.tgz, r-oldrel (arm64): TDIagree_0.1.1.tgz, r-release (x86_64): TDIagree_0.1.1.tgz, r-oldrel (x86_64): TDIagree_0.1.1.tgz
Old sources:	TDIagree archive

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