Method Comparison Regression - Mcr Fork for M- And MM-Deming
Regression
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Documentation for package ‘mcrPioda’ version 1.3.4
Help Pages
| mcrPioda-package | Method Comparison Regression - Mcr Fork for M- and MM-Deming 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. |
| calcPaBaTiesRatio | Calculate PaBa Ties Ratio. |
| calcPaBaTiesRatio-method | Class '"MCResult"' |
| 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.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.calcPaBaTiesRatio | Calculate PaBa Ties Ratio. |
| 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 |
-- 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"' |