| Method Comparison Regression | mcr-package mcr |
| Calculate difference between two numeric vectors that gives exactly zero for very small relative differences. | calcDiff |
| Graphical Comparison of Regression Parameters and Associated Confidence Intervals | compareFit |
| Comparison of blood and serum creatinine measurement | creatinine |
| Include Legend | includeLegend |
| Analytical Confidence Interval | mc.analytical.ci |
| Resampling estimation of regression parameters and standard errors. | mc.bootstrap |
| Bias Corrected and Accelerated Resampling Confidence Interval | mc.calc.bca |
| Quantile Calculation for BCa | mc.calc.quant |
| Quantile Method for Calculation of Resampling Confidence Intervals | mc.calc.quantile |
| Student Method for Calculation of Resampling Confidence Intervals | mc.calc.Student |
| Bootstrap-t Method for Calculation of Resampling Confidence Intervals | mc.calc.tboot |
| Calculate Matrix of All Pair-wise Slope Angles | mc.calcAngleMat |
| Calculate Matrix of All Pair-wise Slope Angles | mc.calcAngleMat.R |
| Jackknife Confidence Interval | mc.calcLinnetCI |
| Compute Resampling T-statistic. | mc.calcTstar |
| Calculate Unweighted Deming Regression and Estimate Standard Errors | mc.deming |
| Calculate ordinary linear Regression and Estimate Standard Errors | mc.linreg |
| Returns Results of Calculations in Matrix Form | mc.make.CIframe |
| Passing-Bablok Regression | mc.paba |
| Passing-Bablok Regression for Large Datasets | mc.paba.LargeData |
| Equivariant Passing-Bablok Regression | mc.PBequi |
| Calculate Weighted Deming Regression | mc.wdemingConstCV |
| Calculate Weighted Ordinary Linear Regression and Estimate Standard Errors | mc.wlinreg |
| Comparison of Two Measurement Methods Using Regression Analysis | mcreg |
| Class '"MCResult"' | calcBias,MCResult-method calcCUSUM,MCResult-method calcResponse,MCResult-method coef,MCResult-method getCoefficients,MCResult-method getData,MCResult-method getErrorRatio,MCResult-method getFitted,MCResult-method getRegmethod,MCResult-method getResiduals,MCResult-method getWeights,MCResult-method MCResult-class plot,MCResult-method plotBias,MCResult-method plotDifference,MCResult-method plotResiduals,MCResult-method printSummary,MCResult-method summary,MCResult-method |
| Systematical Bias Between Reference Method and Test Method | calcBias MCResult.calcBias |
| Calculate CUSUM Statistics According to Passing & Bablok (1983) | calcCUSUM MCResult.calcCUSUM |
| Calculate Response with Confidence Interval. | calcResponse MCResult.calcResponse |
| Get Regression Coefficients | coef getCoefficients MCResult.getCoefficients |
| Get Data | getData MCResult.getData |
| Get Error Ratio | getErrorRatio MCResult.getErrorRatio |
| Get Fitted Values. | getFitted MCResult.getFitted |
| Get Regression Method | getRegmethod MCResult.getRegmethod |
| Get Regression Residuals | getResiduals MCResult.getResiduals |
| Get Weights of Data Points | getWeights MCResult.getWeights |
| MCResult Object Initialization | MCResult.initialize |
| Scatter Plot Method X vs. Method Y | MCResult.plot plot plot.mcr |
| Plot Estimated Systematical Bias with Confidence Bounds | MCResult.plotBias plotBias |
| Bland-Altman Plot | MCResult.plotDifference plotDifference |
| Plot Residuals of an MCResult Object | MCResult.plotResiduals plotResiduals |
| Print Summary of a Regression Analysis | MCResult.printSummary printSummary summary |
| Class '"MCResultAnalytical"' | calcResponse,MCResultAnalytical-method MCResultAnalytical-class printSummary,MCResultAnalytical-method summary,MCResultAnalytical-method |
| Caluculate Response | MCResultAnalytical.calcResponse |
| Initialize Method for 'MCResultAnalytical' Objects. | MCResultAnalytical.initialize |
| Print Regression-Analysis Summary for Objects of class 'MCResultAnalytical'. | MCResultAnalytical.printSummary |
| Class '"MCResultBCa"' | calcResponse,MCResultBCa-method MCResultBCa-class printSummary,MCResultBCa-method summary,MCResultBCa-method |
| Compute Bootstrap-Summary for 'MCResultBCa' Objects. | MCResultBCa.bootstrapSummary |
| Caluculate Response | MCResultBCa.calcResponse |
| Initialize Method for 'MCResultBCa' Objects. | MCResultBCa.initialize |
| Plot distriblution of bootstrap coefficients | MCResultBCa.plotBootstrapCoefficients |
| Plot distriblution of bootstrap pivot T | MCResultBCa.plotBootstrapT |
| Print Regression-Analysis Summary for Objects of class 'MCResultBCa'. | MCResultBCa.printSummary |
| Class '"MCResultJackknife"' | calcResponse,MCResultJackknife-method getRJIF,MCResultJackknife-method MCResultJackknife-class plotwithRJIF,MCResultJackknife-method printSummary,MCResultJackknife-method summary,MCResultJackknife-method |
| Caluculate Response | MCResultJackknife.calcResponse |
| Get-Method for Jackknife-Intercept Value. | MCResultJackknife.getJackknifeIntercept |
| Get-Method for Jackknife-Slope Value. | MCResultJackknife.getJackknifeSlope |
| Jackknife Statistics | MCResultJackknife.getJackknifeStatistics |
| Relative Jackknife Influence Function | getRJIF MCResultJackknife.getRJIF |
| Initialize Method for 'MCResultJackknife' Objects. | MCResultJackknife.initialize |
| Plotting the Relative Jackknife Influence Function | MCResultJackknife.plotwithRJIF plotwithRJIF |
| Print Regression-Analysis Summary for Objects of class 'MCResultJackknife'. | MCResultJackknife.printSummary |
| Class '"MCResultResampling"' | calcResponse,MCResultResampling-method MCResultResampling-class printSummary,MCResultResampling-method summary,MCResultResampling-method |
| Compute Bootstrap-Summary for 'MCResultResampling' Objects. | MCResultResampling.bootstrapSummary |
| Caluculate Response | MCResultResampling.calcResponse |
| Initialize Method for 'MCResultAnalytical' Objects. | MCResultResampling.initialize |
| Plot distriblution of bootstrap coefficients | MCResultResampling.plotBootstrapCoefficients |
| Plot distriblution of bootstrap pivot T | MCResultResampling.plotBootstrapT |
| Print Regression-Analysis Summary for Objects of class 'MCResultResampling'. | MCResultResampling.printSummary |
| MCResult Object Constructor with Matrix in Wide Format as Input | newMCResult |
| MCResultAnalytical object constructor with matrix in wide format as input. | newMCResultAnalytical |
| MCResultBCa object constructor with matrix in wide format as input. | newMCResultBCa |
| MCResultJackknife Object Constructor with Matrix in Wide Format as Input | newMCResultJackknife |
| MCResultResampling object constructor with matrix in wide format as input. | newMCResultResampling |
