coat: Conditional Method Agreement Trees (COAT)

Agreement of continuously scaled measurements made by two techniques, devices or methods is usually evaluated by the well-established Bland-Altman analysis or plot. Conditional method agreement trees (COAT), proposed by Karapetyan, Zeileis, Henriksen, and Hapfelmeier (2023) <doi:10.48550/arXiv.2306.04456>, embed the Bland-Altman analysis in the framework of recursive partitioning to explore heterogeneous method agreement in dependence of covariates. COAT can also be used to perform a Bland-Altman test for differences in method agreement.

Version:	0.2.0
Depends:	R (≥ 3.5.0)
Imports:	partykit, ggplot2, grid, ggparty, gridExtra, ggtext
Suggests:	disttree, MethComp
Published:	2023-07-11
DOI:	10.32614/CRAN.package.coat
Author:	Alexander Hapfelmeier [aut, cre], Siranush Karapetyan [aut], Achim Zeileis [aut]
Maintainer:	Alexander Hapfelmeier <Alexander.Hapfelmeier at mri.tum.de>
License:	GPL-2 | GPL-3
NeedsCompilation:	no
Additional_repositories:	https://R-Forge.R-project.org
Citation:	coat citation info
Materials:	NEWS
CRAN checks:	coat results

Documentation:

Reference manual:

coat.pdf

Downloads:

Package source:	coat_0.2.0.tar.gz
Windows binaries:	r-devel: coat_0.2.0.zip, r-release: coat_0.2.0.zip, r-oldrel: coat_0.2.0.zip
macOS binaries:	r-release (arm64): coat_0.2.0.tgz, r-oldrel (arm64): coat_0.2.0.tgz, r-release (x86_64): coat_0.2.0.tgz, r-oldrel (x86_64): coat_0.2.0.tgz

Linking:

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