Package: mcrPioda 1.3.4
mcrPioda: Method Comparison Regression - Mcr Fork for M- And MM-Deming 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 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'.
Authors:
mcrPioda_1.3.4.tar.gz
mcrPioda_1.3.4.tar.gz(r-4.5-noble)mcrPioda_1.3.4.tar.gz(r-4.4-noble)
mcrPioda_1.3.4.tgz(r-4.4-emscripten)mcrPioda_1.3.4.tgz(r-4.3-emscripten)
mcrPioda.pdf |mcrPioda.html✨
mcrPioda/json (API)
NEWS
# Install 'mcrPioda' in R: |
install.packages('mcrPioda', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- creatinine - Comparison of blood and serum creatinine measurement
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:409357adfc. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 26 2024 |
R-4.5-linux-x86_64 | OK | Nov 26 2024 |
Exports:calcBiascalcCUSUMcalcPaBaTiesRatiocalcResponsecoefcompareFitgetCoefficientsgetDatagetErrorRatiogetFittedgetRegmethodgetResidualsgetRJIFgetWeightsincludeLegendmcregMCResult.calcBiasMCResult.calcCUSUMMCResult.calcResponseMCResult.getCoefficientsMCResult.getDataMCResult.getErrorRatioMCResult.getFittedMCResult.getRegmethodMCResult.getResidualsMCResult.getWeightsMCResult.initializeMCResult.plotMCResult.plotBiasMCResult.plotDifferenceMCResult.plotResidualsMCResult.printSummaryMCResultAnalytical.calcResponseMCResultAnalytical.initializeMCResultAnalytical.printSummaryMCResultBCa.bootstrapSummaryMCResultBCa.calcResponseMCResultBCa.initializeMCResultBCa.plotBootstrapCoefficientsMCResultBCa.plotBootstrapTMCResultBCa.plotBoxEllipsesMCResultBCa.printSummaryMCResultJackknife.calcResponseMCResultJackknife.getJackknifeInterceptMCResultJackknife.getJackknifeSlopeMCResultJackknife.getJackknifeStatisticsMCResultJackknife.getRJIFMCResultJackknife.initializeMCResultJackknife.plotwithRJIFMCResultJackknife.printSummaryMCResultResampling.bootstrapSummaryMCResultResampling.calcResponseMCResultResampling.initializeMCResultResampling.plotBootstrapCoefficientsMCResultResampling.plotBootstrapTMCResultResampling.plotBoxEllipsesMCResultResampling.printSummaryplotplotBiasplotDifferenceplotResidualsplotwithRJIFprintSummarysummary
Dependencies:askpassbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tableDEoptimRdigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemixtoolsmunsellmvtnormnlmeopensslpcaPPpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownrobslopesrobustbaserrcovsassscalessegmentedstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml