mcrPioda-package | Method Comparison Regression - Mcr Fork for M- and MM-Deming Regression |
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 |
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"' |
includeLegend | Include Legend |
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.mdemingConstCV | Calculate Weighted Deming Regression |
mc.mmdemingConstCV | Calculate Weighted Deming Regression |
mc.mmNgdemingConstCV | Calculate MM Deming Regression |
mc.mmPidemingConstCV | Calculate MM Deming Regression |
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 |
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 | Calculate 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 | Calculate Response |
MCResultBCa.initialize | Initialize Method for 'MCResultBCa' Objects. |
MCResultBCa.plotBootstrapCoefficients | Plot distribution of bootstrap coefficients |
MCResultBCa.plotBootstrapT | Plot distribution of bootstrap pivot T |
MCResultBCa.plotBoxEllipses | Plot Box Ellipses of bootstrap coefficients |
MCResultBCa.printSummary | Print Regression-Analysis Summary for Objects of class 'MCResultBCa'. |
MCResultJackknife-class | Class '"MCResultJackknife"' |
MCResultJackknife.calcResponse | Calculate 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 | Calculate Response |
MCResultResampling.initialize | Initialize Method for 'MCResultAnalytical' Objects. |
MCResultResampling.plotBootstrapCoefficients | Plot distribution of bootstrap coefficients |
MCResultResampling.plotBootstrapT | Plot distribution of bootstrap pivot T |
MCResultResampling.plotBoxEllipses | Plot Box Ellipses of bootstrap coefficients |
MCResultResampling.printSummary | Print Regression-Analysis Summary for Objects of class 'MCResultResampling'. |
mcrPioda | Method Comparison Regression - Mcr Fork for M- and MM-Deming Regression |
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. |
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"' |
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"' |