Package: mcr 1.3.3.1
Sergej Potapov
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".
Authors:
mcr_1.3.3.1.tar.gz
mcr_1.3.3.1.tar.gz(r-4.5-noble)mcr_1.3.3.1.tar.gz(r-4.4-noble)
mcr_1.3.3.1.tgz(r-4.4-emscripten)mcr_1.3.3.1.tgz(r-4.3-emscripten)
mcr.pdf |mcr.html✨
mcr/json (API)
| # Install 'mcr' in R: |
| install.packages('mcr', repos = 'https://cloud.r-project.org') |
- creatinine - Comparison of blood and serum creatinine measurement
Conda:r-mcr-1.3.3.1(2025-03-25)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:3d72540bf2. Checks:3 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 23 2025 |
| R-4.5-linux-x86_64 | OK | Mar 23 2025 |
| R-4.4-linux-x86_64 | OK | Mar 23 2025 |
Exports:calcBiascalcCUSUMcalcResponsecoefcompareFitgetCoefficientsgetDatagetErrorRatiogetFittedgetRegmethodgetResidualsgetRJIFgetWeightsincludeLegendmcregMCResult.calcBiasMCResult.calcCUSUMMCResult.calcResponseMCResult.getCoefficientsMCResult.getDataMCResult.getErrorRatioMCResult.getFittedMCResult.getRegmethodMCResult.getResidualsMCResult.getWeightsMCResult.initializeMCResult.plotMCResult.plotBiasMCResult.plotDifferenceMCResult.plotResidualsMCResult.printSummaryMCResultAnalytical.calcResponseMCResultAnalytical.initializeMCResultAnalytical.printSummaryMCResultBCa.bootstrapSummaryMCResultBCa.calcResponseMCResultBCa.initializeMCResultBCa.plotBootstrapCoefficientsMCResultBCa.plotBootstrapTMCResultBCa.printSummaryMCResultJackknife.calcResponseMCResultJackknife.getJackknifeInterceptMCResultJackknife.getJackknifeSlopeMCResultJackknife.getJackknifeStatisticsMCResultJackknife.getRJIFMCResultJackknife.initializeMCResultJackknife.plotwithRJIFMCResultJackknife.printSummaryMCResultResampling.bootstrapSummaryMCResultResampling.calcResponseMCResultResampling.initializeMCResultResampling.plotBootstrapCoefficientsMCResultResampling.plotBootstrapTMCResultResampling.printSummaryplotplotBiasplotDifferenceplotResidualsplotwithRJIFprintSummarysummary
Dependencies:RcppRcppArmadillorobslopes
Citation
To cite package ‘mcr’ in publications use:
Potapov S, Model F, Schuetzenmeister A, Manuilova E, Dufey F, Raymaekers J (2024). mcr: Method Comparison Regression. R package version 1.3.3.1, https://CRAN.R-project.org/package=mcr.
Corresponding BibTeX entry:
@Manual{,
title = {mcr: Method Comparison Regression},
author = {Sergej Potapov and Fabian Model and Andre
Schuetzenmeister and Ekaterina Manuilova and Florian Dufey and
Jakob Raymaekers},
year = {2024},
note = {R package version 1.3.3.1},
url = {https://CRAN.R-project.org/package=mcr},
}