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mcr
View on CRAN: Click
here
Download and install mcr package within the R console
Install from CRAN:
install.packages("mcr")
Install from Github:
library("remotes")
install_github("cran/mcr")
Install by package version:
library("remotes")
install_version("mcr", "1.3.3")
Attach the package and use:
library("mcr")
Maintained by
Sergej Potapov
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-07-24
Latest Update: 2023-10-11
Description:
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, )
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, ) and
J. Raymaekers and F. Dufey (2022, ).
A comprehensive overview over the implemented methods and references can be found
in the manual pages "mcr-package" and "mcreg".
How to cite:
Sergej Potapov (2012). mcr: Method Comparison Regression. R package version 1.3.3, https://cran.r-project.org/web/packages/mcr
Previous versions and publish date:
Other packages that cited mcr R package
View mcr citation profile
Other R packages that mcr depends,
imports, suggests or enhances
Functions, R codes and Examples using
the mcr R package
Some associated functions: MCResult-class . MCResult.calcBias . MCResult.calcCUSUM . MCResult.calcResponse . MCResult.getCoefficients . MCResult.getData . MCResult.getErrorRatio . MCResult.getFitted . MCResult.getRegmethod . MCResult.getResiduals . MCResult.getWeights . MCResult.initialize . MCResult.plot . MCResult.plotBias . MCResult.plotDifference . MCResult.plotResiduals . MCResult.printSummary . MCResultAnalytical-class . MCResultAnalytical.calcResponse . MCResultAnalytical.initialize . MCResultAnalytical.printSummary . MCResultBCa-class . MCResultBCa.bootstrapSummary . MCResultBCa.calcResponse . MCResultBCa.initialize . MCResultBCa.plotBootstrapCoefficients . MCResultBCa.plotBootstrapT . MCResultBCa.printSummary . MCResultJackknife-class . MCResultJackknife.calcResponse . MCResultJackknife.getJackknifeIntercept . MCResultJackknife.getJackknifeSlope . MCResultJackknife.getJackknifeStatistics . MCResultJackknife.getRJIF . MCResultJackknife.initialize . MCResultJackknife.plotwithRJIF . MCResultJackknife.printSummary . MCResultResampling-class . MCResultResampling.bootstrapSummary . MCResultResampling.calcResponse . MCResultResampling.initialize . MCResultResampling.plotBootstrapCoefficients . MCResultResampling.plotBootstrapT . MCResultResampling.printSummary . calcDiff . compareFit . creatinine . includeLegend . mc.PBequi . mc.analytical.ci . mc.bootstrap . mc.calc.Student . mc.calc.bca . mc.calc.quant . mc.calc.quantile . mc.calc.tboot . mc.calcAngleMat.R . mc.calcAngleMat . mc.calcLinnetCI . mc.calcTstar . mc.deming . mc.linreg . mc.make.CIframe . mc.paba.LargeData . mc.paba . mc.wdemingConstCV . mc.wlinreg . mcr-package . mcreg . newMCResult . newMCResultAnalytical . newMCResultBCa . newMCResultJackknife . newMCResultResampling .
Some associated R codes: Full mcr package functions and examples
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