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mcr: Method Comparison Regression

Regression methods to quantify the relation between two measurement methods are provided by this package. In particular it addresses regression problems with errors in both variables and without repeated measurements. It implements the CLSI recommendations (see J. A. Budd et al. (2018, <https://clsi.org/standards/products/method-evaluation/documents/ep09/>) for analytical method comparison and bias estimation using patient samples. Furthermore, algorithms for Theil-Sen and equivariant Passing-Bablok estimators are implemented, see F. Dufey (2020, <doi:10.1515/ijb-2019-0157>) and J. Raymaekers and F. Dufey (2022, <arXiv:2202:08060>). A comprehensive overview over the implemented methods and references can be found in the manual pages "mcr-package" and "mcreg".

Version: 1.3.3.1
Depends: R (≥ 3.0.0), parallel, robslopes
Imports: stats, graphics, grDevices, methods
Published: 2024-09-23
DOI: 10.32614/CRAN.package.mcr
Author: Sergej Potapov ORCID iD [aut, cre], Fabian Model [aut], Andre Schuetzenmeister ORCID iD [aut], Ekaterina Manuilova [aut], Florian Dufey ORCID iD [aut], Jakob Raymaekers ORCID iD [aut], Venkatraman E. Seshan [ctb], Roche [cph, fnd]
Maintainer: Sergej Potapov <sergej.potapov at roche.com>
License: GPL (≥ 3)
Copyright: This package includes code from the 'clinfun' library owned by Ventatraman E. Seshan (ktau.r and ktau.f).
NeedsCompilation: yes
CRAN checks: mcr results

Documentation:

Reference manual: mcr.pdf

Downloads:

Package source: mcr_1.3.3.1.tar.gz
Windows binaries: r-devel: mcr_1.3.3.1.zip, r-release: mcr_1.3.3.1.zip, r-oldrel: mcr_1.3.3.1.zip
macOS binaries: r-release (arm64): mcr_1.3.3.1.tgz, r-oldrel (arm64): mcr_1.3.3.1.tgz, r-release (x86_64): mcr_1.3.3.1.tgz, r-oldrel (x86_64): mcr_1.3.3.1.tgz
Old sources: mcr archive

Reverse dependencies:

Reverse imports: mcradds, rsq

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mcr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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