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'.
calcDiff                Calculate difference between two numeric
                        vectors that gives exactly zero for very small
                        relative differences.
compareFit              Graphical Comparison of Regression Parameters
                        and Associated Confidence Intervals
creatinine              Comparison of blood and serum creatinine
                        measurement
includeLegend           Include Legend
mc.PBequi               Equivariant Passing-Bablok Regression
mc.analytical.ci        Analytical Confidence Interval
mc.bootstrap            Resampling estimation of regression parameters
                        and standard errors.
mc.calc.Student         Student Method for Calculation of Resampling
                        Confidence Intervals
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.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.mmNgdemingConstCV    Calculate MM Deming Regression
mc.mmPidemingConstCV    Calculate MM Deming Regression
mc.mmdemingConstCV      Calculate Weighted Deming Regression
mc.paba                 Passing-Bablok Regression
mc.paba.LargeData       Passing-Bablok Regression for Large Datasets
mc.wdemingConstCV       Calculate Weighted Deming Regression
mc.wlinreg              Calculate Weighted Ordinary Linear Regression
                        and Estimate Standard Errors
mcrPioda-package        Method Comparison Regression - Mcr Fork for M-
                        and MM-Deming Regression
mcreg                   Comparison of Two Measurement Methods Using
                        Regression Analysis
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.
