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.">

coat: Conditional Method Agreement Trees (COAT) (original) (raw)

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 HapfelmeierORCID iD [aut, cre], Siranush KarapetyanORCID 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

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