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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 Clinical Laboratory Standard International (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>). Further the robust M-Deming and MM-Deming (experimental) are available, see G. Pioda (2021, <arXiv:2105:04628>). A comprehensive overview over the implemented methods and references can be found in the manual pages 'mcrPioda-package' and 'mcreg'.
Version: | 1.3.4 |
Depends: | R (≥ 3.0.0), parallel, robslopes |
Imports: | stats, graphics, grDevices, methods, rrcov, mixtools |
Published: | 2024-08-27 |
DOI: | 10.32614/CRAN.package.mcrPioda |
Author: | Giorgio Pioda [aut, cre], Sergej Potapov [aut], Fabian Model [aut], Andre Schuetzenmeister [aut], Ekaterina Manuilova [aut], Florian Dufey [aut], Jakob Raymaekers [aut], Venkatraman E. Seshan [ctb], Roche [cph, fnd] |
Maintainer: | Giorgio Pioda <gfwp at ticino.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 |
Materials: | README NEWS |
CRAN checks: | mcrPioda results |
Reference manual: | mcrPioda.pdf |
Package source: | mcrPioda_1.3.4.tar.gz |
Windows binaries: | r-devel: mcrPioda_1.3.4.zip, r-release: mcrPioda_1.3.4.zip, r-oldrel: mcrPioda_1.3.4.zip |
macOS binaries: | r-release (arm64): mcrPioda_1.3.4.tgz, r-oldrel (arm64): mcrPioda_1.3.4.tgz, r-release (x86_64): mcrPioda_1.3.4.tgz, r-oldrel (x86_64): mcrPioda_1.3.4.tgz |
Old sources: | mcrPioda archive |
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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.