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
Author: Alexander Hapfelmeier ORCID iD [aut, cre], Siranush Karapetyan ORCID iD [aut], Achim Zeileis ORCID iD [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-prerel: coat_0.2.0.zip, r-release: coat_0.2.0.zip, r-oldrel: coat_0.2.0.zip
macOS binaries: r-prerel (arm64): coat_0.2.0.tgz, r-release (arm64): coat_0.2.0.tgz, r-oldrel (arm64): coat_0.2.0.tgz, r-prerel (x86_64): coat_0.2.0.tgz, r-release (x86_64): coat_0.2.0.tgz

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