R: Method Comparison Regression

# Method Comparison Regression

## Documentation for package ‘mcr’ version 1.3.3.1

- DESCRIPTION file

## Help Pages

C G I M N P S

mcr-package | Method Comparison Regression

## -- C --

calcBias | Systematical Bias Between Reference Method and Test Method
calcBias-method | Class '"MCResult"'
calcCUSUM | Calculate CUSUM Statistics According to Passing & Bablok (1983)
calcCUSUM-method | Class '"MCResult"'
calcDiff | Calculate difference between two numeric vectors that gives exactly zero for very small relative differences.
calcResponse | Calculate Response with Confidence Interval.
calcResponse-method | Class '"MCResult"'
calcResponse-method | Class '"MCResultAnalytical"'
calcResponse-method | Class '"MCResultBCa"'
calcResponse-method | Class '"MCResultJackknife"'
calcResponse-method | Class '"MCResultResampling"'
coef | Get Regression Coefficients
coef-method | Class '"MCResult"'
compareFit | Graphical Comparison of Regression Parameters and Associated Confidence Intervals
creatinine | Comparison of blood and serum creatinine measurement

## -- G --

getCoefficients | Get Regression Coefficients
getCoefficients-method | Class '"MCResult"'
getData | Get Data
getData-method | Class '"MCResult"'
getErrorRatio | Get Error Ratio
getErrorRatio-method | Class '"MCResult"'
getFitted | Get Fitted Values.
getFitted-method | Class '"MCResult"'
getRegmethod | Get Regression Method
getRegmethod-method | Class '"MCResult"'
getResiduals | Get Regression Residuals
getResiduals-method | Class '"MCResult"'
getRJIF | Relative Jackknife Influence Function
getRJIF-method | Class '"MCResultJackknife"'
getWeights | Get Weights of Data Points
getWeights-method | Class '"MCResult"'

## -- I --

includeLegend | Include Legend

## -- M --

mc.analytical.ci | Analytical Confidence Interval
mc.bootstrap | Resampling estimation of regression parameters and standard errors.
mc.calc.bca | Bias Corrected and Accelerated Resampling Confidence Interval
mc.calc.quant | Quantile Calculation for BCa
mc.calc.quantile | Quantile Method for Calculation of Resampling Confidence Intervals
mc.calc.Student | Student Method for Calculation of Resampling Confidence Intervals
mc.calc.tboot | Bootstrap-t Method for Calculation of Resampling Confidence Intervals
mc.calcAngleMat | Calculate Matrix of All Pair-wise Slope Angles
mc.calcAngleMat.R | Calculate Matrix of All Pair-wise Slope Angles
mc.calcLinnetCI | Jackknife Confidence Interval
mc.calcTstar | Compute Resampling T-statistic.
mc.deming | Calculate Unweighted Deming Regression and Estimate Standard Errors
mc.linreg | Calculate ordinary linear Regression and Estimate Standard Errors
mc.make.CIframe | Returns Results of Calculations in Matrix Form
mc.paba | Passing-Bablok Regression
mc.paba.LargeData | Passing-Bablok Regression for Large Datasets
mc.PBequi | Equivariant Passing-Bablok Regression
mc.wdemingConstCV | Calculate Weighted Deming Regression
mc.wlinreg | Calculate Weighted Ordinary Linear Regression and Estimate Standard Errors
mcr | Method Comparison Regression
mcreg | Comparison of Two Measurement Methods Using Regression Analysis
MCResult-class | Class '"MCResult"'
MCResult.calcBias | Systematical Bias Between Reference Method and Test Method
MCResult.calcCUSUM | Calculate CUSUM Statistics According to Passing & Bablok (1983)
MCResult.calcResponse | Calculate Response with Confidence Interval.
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
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
MCResultAnalytical-class | Class '"MCResultAnalytical"'
MCResultAnalytical.calcResponse | Caluculate Response
MCResultAnalytical.initialize | Initialize Method for 'MCResultAnalytical' Objects.
MCResultAnalytical.printSummary | Print Regression-Analysis Summary for Objects of class 'MCResultAnalytical'.
MCResultBCa-class | Class '"MCResultBCa"'
MCResultBCa.bootstrapSummary | Compute Bootstrap-Summary for 'MCResultBCa' Objects.
MCResultBCa.calcResponse | Caluculate Response
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 'MCResultBCa'.
MCResultJackknife-class | Class '"MCResultJackknife"'
MCResultJackknife.calcResponse | Caluculate Response
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 'MCResultJackknife'.
MCResultResampling-class | Class '"MCResultResampling"'
MCResultResampling.bootstrapSummary | Compute Bootstrap-Summary for 'MCResultResampling' Objects.
MCResultResampling.calcResponse | Caluculate Response
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 'MCResultResampling'.

## -- N --

newMCResult | MCResult Object Constructor with Matrix in Wide Format as Input
newMCResultAnalytical | MCResultAnalytical object constructor with matrix in wide format as input.
newMCResultBCa | MCResultBCa object constructor with matrix in wide format as input.
newMCResultJackknife | MCResultJackknife Object Constructor with Matrix in Wide Format as Input
newMCResultResampling | MCResultResampling object constructor with matrix in wide format as input.

## -- P --

plot | Scatter Plot Method X vs. Method Y
plot-method | Class '"MCResult"'
plot.mcr | Scatter Plot Method X vs. Method Y
plotBias | Plot Estimated Systematical Bias with Confidence Bounds
plotBias-method | Class '"MCResult"'
plotDifference | Bland-Altman Plot
plotDifference-method | Class '"MCResult"'
plotResiduals | Plot Residuals of an MCResult Object
plotResiduals-method | Class '"MCResult"'
plotwithRJIF | Plotting the Relative Jackknife Influence Function
plotwithRJIF-method | Class '"MCResultJackknife"'
printSummary | Print Summary of a Regression Analysis
printSummary-method | Class '"MCResult"'
printSummary-method | Class '"MCResultAnalytical"'
printSummary-method | Class '"MCResultBCa"'
printSummary-method | Class '"MCResultJackknife"'
printSummary-method | Class '"MCResultResampling"'

## -- S --

summary | Print Summary of a Regression Analysis
summary-method | Class '"MCResult"'
summary-method | Class '"MCResultAnalytical"'
summary-method | Class '"MCResultBCa"'
summary-method | Class '"MCResultJackknife"'
summary-method | Class '"MCResultResampling"'