mcr: Method Comparison Regression

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.

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

View on CRAN

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...

Files in this package

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

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