mcr: Method Comparison Regression
Version 1.2.1

This package provides regression methods to quantify the relation between two measurement methods. In particular it addresses regression problems with errors in both variables and without repeated measurements. The package provides implementations of Deming regression, weighted Deming regression, and Passing-Bablok regression following the CLSI EP09-A3 recommendations for analytical method comparison and bias estimation using patient samples.

Browse man pages Browse package API and functions Browse package files

AuthorEkaterina Manuilova <ekaterina.manuilova@roche.com> Andre Schuetzenmeister <andre.schuetzenmeister@roche.com> Fabian Model <fabian.model@roche.com>
Date of publication2014-02-12 13:39:04
MaintainerFabian Model <fabian.model@roche.com>
LicenseGPL (>= 3)
Version1.2.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("mcr")

Man pages

calcDiff: Calculate difference between two numeric vectors that gives...
compareFit: Graphical Comparison of Regression Parameters and Associated...
creatinine: Comparison of blood and serum creatinine measurement
includeLegend: Include Legend
mc.analytical.ci: Analytical Confidence Interval
mc.bootstrap: Resampling estimation of regression parameters and standard...
mc.calcAngleMat: Calculate Matrix of All Pair-wise Slope Angles
mc.calcAngleMat.R: Calculate Matrix of All Pair-wise Slope Angles
mc.calc.bca: Bias Corrected and Accelerated Resampling Confidence Interval
mc.calcLinnetCI: Jackknife Confidence Interval
mc.calc.quant: Quantile Calculation for BCa
mc.calc.quantile: Quantile Method for Calculation of Resampling Confidence...
mc.calc.Student: Student Method for Calculation of Resampling Confidence...
mc.calc.tboot: Bootstrap-t Method for Calculation of Resampling Confidence...
mc.calcTstar: Compute Resampling T-statistic.
mc.deming: Calculate Unweighted Deming Regression and Estimate Standard...
mc.linreg: Calculate ordinary linear Regression and Estimate Standard...
mc.make.CIframe: Returns Results of Calculations in Matrix Form
mc.paba: Passing-Bablok Regression
mc.paba.LargeData: Passing-Bablok Regression for Large Datasets
mcreg: Comparison of Two Measurement Methods Using Regression...
MCResultAnalytical.calcResponse: Caluculate Response
MCResultAnalytical-class: Class '"MCResultAnalytical"'
MCResultAnalytical.initialize: Initialize Method for 'MCResultAnalytical' Objects.
MCResultAnalytical.printSummary: Print Regression-Analysis Summary for Objects of class...
MCResultBCa.bootstrapSummary: Compute Bootstrap-Summary for 'MCResultBCa' Objects.
MCResultBCa.calcResponse: Caluculate Response
MCResultBCa-class: Class '"MCResultBCa"'
MCResultBCa.initialize: Initialize Method for 'MCResultBCa' Objects.
MCResultBCa.plotBootstrapCoefficients: Plot distriblution of bootstrap coefficients
MCResultBCa.plotBootstrapT: Plot distriblution of bootstrap pivot T
MCResultBCa.printSummary: Print Regression-Analysis Summary for Objects of class...
MCResult.calcBias: Systematical Bias Between Reference Method and Test Method
MCResult.calcCUSUM: Calculate CUSUM Statistics According to Passing & Bablok...
MCResult.calcResponse: Calculate Response with Confidence Interval.
MCResult-class: Class '"MCResult"'
MCResult.getCoefficients: Get Regression Coefficients
MCResult.getData: Get Data
MCResult.getErrorRatio: Get Error Ratio
MCResult.getFitted: Get Fitted Values.
MCResult.getRegmethod: Get Regression Method
MCResult.getResiduals: Get Regression Residuals
MCResult.getWeights: Get Weights of Data Points
MCResult.initialize: MCResult Object Initialization
MCResultJackknife.calcResponse: Caluculate Response
MCResultJackknife-class: Class '"MCResultJackknife"'
MCResultJackknife.getJackknifeIntercept: Get-Method for Jackknife-Intercept Value.
MCResultJackknife.getJackknifeSlope: Get-Method for Jackknife-Slope Value.
MCResultJackknife.getJackknifeStatistics: Jackknife Statistics
MCResultJackknife.getRJIF: Relative Jackknife Influence Function
MCResultJackknife.initialize: Initialize Method for 'MCResultJackknife' Objects.
MCResultJackknife.plotwithRJIF: Plotting the Relative Jackknife Influence Function
MCResultJackknife.printSummary: Print Regression-Analysis Summary for Objects of class...
MCResult.plot: Scatter Plot Method X vs. Method Y
MCResult.plotBias: Plot Estimated Systematical Bias with Confidence Bounds
MCResult.plotDifference: Bland-Altman Plot
MCResult.plotResiduals: Plot Residuals of an MCResult Object
MCResult.printSummary: Print Summary of a Regression Analysis
MCResultResampling.bootstrapSummary: Compute Bootstrap-Summary for 'MCResultResampling' Objects.
MCResultResampling.calcResponse: Caluculate Response
MCResultResampling-class: Class '"MCResultResampling"'
MCResultResampling.initialize: Initialize Method for 'MCResultAnalytical' Objects.
MCResultResampling.plotBootstrapCoefficients: Plot distriblution of bootstrap coefficients
MCResultResampling.plotBootstrapT: Plot distriblution of bootstrap pivot T
MCResultResampling.printSummary: Print Regression-Analysis Summary for Objects of class...
mcr-package: Method Comparison Regression
mc.wdemingConstCV: Calculate Weighted Deming Regression
mc.wlinreg: Calculate Weighted Ordinary Linear Regression and Estimate...
newMCResult: MCResult Object Constructor with Matrix in Wide Format as...
newMCResultAnalytical: MCResultAnalytical object constructor with matrix in wide...
newMCResultBCa: MCResultBCa object constructor with matrix in wide format as...
newMCResultJackknife: MCResultJackknife Object Constructor with Matrix in Wide...
newMCResultResampling: MCResultResampling object constructor with matrix in wide...

Functions

MCResult-class Man page
MCResult.calcBias Man page Source code
MCResult.calcCUSUM Man page Source code
MCResult.calcResponse Man page Source code
MCResult.getCoefficients Man page Source code
MCResult.getData Man page Source code
MCResult.getErrorRatio Man page Source code
MCResult.getFitted Man page Source code
MCResult.getRegmethod Man page Source code
MCResult.getResiduals Man page Source code
MCResult.getWeights Man page Source code
MCResult.initialize Man page Source code
MCResult.plot Man page Source code
MCResult.plotBias Man page Source code
MCResult.plotDifference Man page Source code
MCResult.plotResiduals Man page Source code
MCResult.printSummary Man page Source code
MCResultAnalytical-class Man page
MCResultAnalytical.calcResponse Man page Source code
MCResultAnalytical.initialize Man page Source code
MCResultAnalytical.printSummary Man page Source code
MCResultBCa-class Man page
MCResultBCa.bootstrapSummary Man page Source code
MCResultBCa.calcResponse Man page Source code
MCResultBCa.initialize Man page Source code
MCResultBCa.plotBootstrapCoefficients Man page Source code
MCResultBCa.plotBootstrapT Man page Source code
MCResultBCa.printSummary Man page Source code
MCResultJackknife-class Man page
MCResultJackknife.calcResponse Man page Source code
MCResultJackknife.getJackknifeIntercept Man page Source code
MCResultJackknife.getJackknifeSlope Man page Source code
MCResultJackknife.getJackknifeStatistics Man page Source code
MCResultJackknife.getRJIF Man page Source code
MCResultJackknife.initialize Man page Source code
MCResultJackknife.plotwithRJIF Man page Source code
MCResultJackknife.printSummary Man page Source code
MCResultResampling-class Man page
MCResultResampling.bootstrapSummary Man page Source code
MCResultResampling.calcResponse Man page Source code
MCResultResampling.initialize Man page Source code
MCResultResampling.plotBootstrapCoefficients Man page Source code
MCResultResampling.plotBootstrapT Man page Source code
MCResultResampling.printSummary Man page Source code
calcBias Man page
calcBias,MCResult-method Man page
calcCUSUM Man page
calcCUSUM,MCResult-method Man page
calcDiff Man page Source code
calcResponse Man page
calcResponse,MCResult-method Man page
calcResponse,MCResultAnalytical-method Man page
calcResponse,MCResultBCa-method Man page
calcResponse,MCResultJackknife-method Man page
calcResponse,MCResultResampling-method Man page
compareFit Man page Source code
creatinine Man page
getCoefficients Man page
getCoefficients,MCResult-method Man page
getData Man page
getData,MCResult-method Man page
getErrorRatio Man page
getErrorRatio,MCResult-method Man page
getFitted Man page
getFitted,MCResult-method Man page
getRJIF Man page
getRJIF,MCResultJackknife-method Man page
getRegmethod Man page
getRegmethod,MCResult-method Man page
getResiduals Man page
getResiduals,MCResult-method Man page
getWeights Man page
getWeights,MCResult-method Man page
includeLegend Man page Source code
mc.analytical.ci Man page Source code
mc.bootstrap Man page Source code
mc.calc.Student Man page Source code
mc.calc.bca Man page Source code
mc.calc.quant Man page Source code
mc.calc.quantile Man page Source code
mc.calc.tboot Man page Source code
mc.calcAngleMat Man page Source code
mc.calcAngleMat.R Man page Source code
mc.calcLinnetCI Man page Source code
mc.calcTstar Man page Source code
mc.deming Man page Source code
mc.linreg Man page Source code
mc.make.CIframe Man page Source code
mc.paba Man page Source code
mc.paba.LargeData Man page Source code
mc.wdemingConstCV Man page Source code
mc.wlinreg Man page Source code
mcr Man page
mcr-package Man page
mcreg Man page Source code
newMCResult Man page Source code
newMCResultAnalytical Man page Source code
newMCResultBCa Man page Source code
newMCResultJackknife Man page Source code
newMCResultResampling Man page Source code
onLoad Source code
plot,MCResult-method Man page
plot.mcr Man page
plotBias Man page
plotBias,MCResult-method Man page
plotDifference Man page
plotDifference,MCResult-method Man page
plotResiduals Man page
plotResiduals,MCResult-method Man page
plotwithRJIF Man page
plotwithRJIF,MCResultJackknife-method Man page
printSummary Man page
printSummary,MCResult-method Man page
printSummary,MCResultAnalytical-method Man page
printSummary,MCResultBCa-method Man page
printSummary,MCResultJackknife-method Man page
printSummary,MCResultResampling-method Man page

Files

inst
inst/unitTests
inst/unitTests/runitMCReg.R
inst/unitTests/runit.mcCalcCI.R
inst/unitTests/runit.mcPaBaLarge.R
inst/unitTests/runit.mcDeming.R
inst/unitTests/TestCaseCollection
inst/unitTests/TestCaseCollection/MC_TestCase_AnaIT_TD41.xml
inst/unitTests/TestCaseCollection/MC_TestCase_AnaIT_TD20.xml
inst/unitTests/TestCaseCollection/testcases.RData
inst/unitTests/TestCaseCollection/MC_TestCase_AnaIT_TD13.xml
inst/unitTests/TestCaseCollection/MC_TestCase_AnaIT_TD9.xml
inst/unitTests/TestCaseCollection/MC_TestCase_Intranet_01.xml
inst/unitTests/TestCaseCollection/MC_TestCase_AnaIT_TD75.xml
inst/unitTests/TestCaseCollection/MC_TestCase_AnaIT_TD15.xml
inst/unitTests/runit.mcPaBa.R
inst/unitTests/runit.MCResultMethods.R
inst/unitTests/runit.mcrInterface.R
inst/unitTests/runit.mcLinReg.R
inst/unitTests/runit.mcWDeming.R
inst/unitTests/runit.mcBootstrap.R
inst/unitTests/runalltests.R
src
src/PaBaAlgorithm.c
NAMESPACE
data
data/creatinine.RData
R
R/mcCalcTstar.r
R/mcDeming.r
R/MCResultBCa.r
R/mcBootstrap.r
R/MCResultJackknife.r
R/mcPaBa.r
R/MCResultAnalytical.r
R/mcWDeming.r
R/mcrCompareFit.r
R/MCResult.r
R/mcLinReg.r
R/MCResultAnalyticalMethods.r
R/zzz.r
R/MCResultResamplingMethods.r
R/mcCalcCI.r
R/MCResultJackknifeMethods.r
R/mcrMisc.r
R/mcrInterface.r
R/MCResultMethods.r
R/MCResultBCaMethods.r
R/MCResultResampling.r
R/mcrIncludeLegend.r
R/mcPaBaLarge.r
MD5
DESCRIPTION
man
man/MCResult.getCoefficients.Rd
man/MCResultBCa.printSummary.Rd
man/mcr-package.Rd
man/mc.calcAngleMat.Rd
man/MCResult-class.Rd
man/MCResult.printSummary.Rd
man/MCResult.getFitted.Rd
man/MCResultJackknife.plotwithRJIF.Rd
man/calcDiff.Rd
man/MCResult.getResiduals.Rd
man/MCResult.initialize.Rd
man/MCResultJackknife.getJackknifeSlope.Rd
man/MCResult.plotBias.Rd
man/MCResultAnalytical.printSummary.Rd
man/newMCResultBCa.Rd
man/mc.calc.quant.Rd
man/MCResultAnalytical.initialize.Rd
man/mc.calc.tboot.Rd
man/mcreg.Rd
man/newMCResultJackknife.Rd
man/MCResult.plot.Rd
man/mc.linreg.Rd
man/mc.calcTstar.Rd
man/mc.paba.LargeData.Rd
man/MCResultJackknife.getJackknifeStatistics.Rd
man/mc.analytical.ci.Rd
man/MCResultBCa.plotBootstrapCoefficients.Rd
man/MCResultBCa-class.Rd
man/MCResult.calcResponse.Rd
man/mc.deming.Rd
man/MCResult.calcCUSUM.Rd
man/mc.calcAngleMat.R.Rd
man/MCResultBCa.calcResponse.Rd
man/MCResultResampling.plotBootstrapCoefficients.Rd
man/MCResult.calcBias.Rd
man/mc.paba.Rd
man/MCResultJackknife.getRJIF.Rd
man/newMCResultResampling.Rd
man/MCResult.plotResiduals.Rd
man/MCResultJackknife.calcResponse.Rd
man/MCResultResampling.plotBootstrapT.Rd
man/mc.wdemingConstCV.Rd
man/MCResult.getRegmethod.Rd
man/MCResult.plotDifference.Rd
man/MCResultBCa.plotBootstrapT.Rd
man/newMCResultAnalytical.Rd
man/MCResultResampling.printSummary.Rd
man/MCResult.getErrorRatio.Rd
man/mc.calc.quantile.Rd
man/mc.make.CIframe.Rd
man/MCResult.getData.Rd
man/mc.calc.bca.Rd
man/MCResultBCa.initialize.Rd
man/MCResultJackknife.printSummary.Rd
man/MCResultResampling.bootstrapSummary.Rd
man/MCResultResampling-class.Rd
man/mc.wlinreg.Rd
man/MCResultResampling.calcResponse.Rd
man/MCResultAnalytical-class.Rd
man/MCResultResampling.initialize.Rd
man/compareFit.Rd
man/MCResultAnalytical.calcResponse.Rd
man/MCResult.getWeights.Rd
man/MCResultJackknife.initialize.Rd
man/newMCResult.Rd
man/mc.bootstrap.Rd
man/MCResultBCa.bootstrapSummary.Rd
man/includeLegend.Rd
man/MCResultJackknife.getJackknifeIntercept.Rd
man/creatinine.Rd
man/MCResultJackknife-class.Rd
man/mc.calcLinnetCI.Rd
man/mc.calc.Student.Rd
mcr documentation built on May 20, 2017, 3:55 a.m.