Man pages for mcr
Method Comparison Regression

calcDiffCalculate difference between two numeric vectors that gives...
compareFitGraphical Comparison of Regression Parameters and Associated...
creatinineComparison of blood and serum creatinine measurement
includeLegendInclude Legend
mc.analytical.ciAnalytical Confidence Interval
mc.bootstrapResampling estimation of regression parameters and standard...
mc.calcAngleMatCalculate Matrix of All Pair-wise Slope Angles
mc.calcAngleMat.RCalculate Matrix of All Pair-wise Slope Angles
mc.calc.bcaBias Corrected and Accelerated Resampling Confidence Interval
mc.calcLinnetCIJackknife Confidence Interval
mc.calc.quantQuantile Calculation for BCa
mc.calc.quantileQuantile Method for Calculation of Resampling Confidence...
mc.calc.StudentStudent Method for Calculation of Resampling Confidence...
mc.calc.tbootBootstrap-t Method for Calculation of Resampling Confidence...
mc.calcTstarCompute Resampling T-statistic.
mc.demingCalculate Unweighted Deming Regression and Estimate Standard...
mc.linregCalculate ordinary linear Regression and Estimate Standard...
mc.make.CIframeReturns Results of Calculations in Matrix Form
mc.pabaPassing-Bablok Regression
mc.paba.LargeDataPassing-Bablok Regression for Large Datasets
mcregComparison of Two Measurement Methods Using Regression...
MCResultAnalytical.calcResponseCaluculate Response
MCResultAnalytical-classClass '"MCResultAnalytical"'
MCResultAnalytical.initializeInitialize Method for 'MCResultAnalytical' Objects.
MCResultAnalytical.printSummaryPrint Regression-Analysis Summary for Objects of class...
MCResultBCa.bootstrapSummaryCompute Bootstrap-Summary for 'MCResultBCa' Objects.
MCResultBCa.calcResponseCaluculate Response
MCResultBCa-classClass '"MCResultBCa"'
MCResultBCa.initializeInitialize Method for 'MCResultBCa' Objects.
MCResultBCa.plotBootstrapCoefficientsPlot distriblution of bootstrap coefficients
MCResultBCa.plotBootstrapTPlot distriblution of bootstrap pivot T
MCResultBCa.printSummaryPrint Regression-Analysis Summary for Objects of class...
MCResult.calcBiasSystematical Bias Between Reference Method and Test Method
MCResult.calcCUSUMCalculate CUSUM Statistics According to Passing & Bablok...
MCResult.calcResponseCalculate Response with Confidence Interval.
MCResult-classClass '"MCResult"'
MCResult.getCoefficientsGet Regression Coefficients
MCResult.getDataGet Data
MCResult.getErrorRatioGet Error Ratio
MCResult.getFittedGet Fitted Values.
MCResult.getRegmethodGet Regression Method
MCResult.getResidualsGet Regression Residuals
MCResult.getWeightsGet Weights of Data Points
MCResult.initializeMCResult Object Initialization
MCResultJackknife.calcResponseCaluculate Response
MCResultJackknife-classClass '"MCResultJackknife"'
MCResultJackknife.getJackknifeInterceptGet-Method for Jackknife-Intercept Value.
MCResultJackknife.getJackknifeSlopeGet-Method for Jackknife-Slope Value.
MCResultJackknife.getJackknifeStatisticsJackknife Statistics
MCResultJackknife.getRJIFRelative Jackknife Influence Function
MCResultJackknife.initializeInitialize Method for 'MCResultJackknife' Objects.
MCResultJackknife.plotwithRJIFPlotting the Relative Jackknife Influence Function
MCResultJackknife.printSummaryPrint Regression-Analysis Summary for Objects of class...
MCResult.plotScatter Plot Method X vs. Method Y
MCResult.plotBiasPlot Estimated Systematical Bias with Confidence Bounds
MCResult.plotDifferenceBland-Altman Plot
MCResult.plotResidualsPlot Residuals of an MCResult Object
MCResult.printSummaryPrint Summary of a Regression Analysis
MCResultResampling.bootstrapSummaryCompute Bootstrap-Summary for 'MCResultResampling' Objects.
MCResultResampling.calcResponseCaluculate Response
MCResultResampling-classClass '"MCResultResampling"'
MCResultResampling.initializeInitialize Method for 'MCResultAnalytical' Objects.
MCResultResampling.plotBootstrapCoefficientsPlot distriblution of bootstrap coefficients
MCResultResampling.plotBootstrapTPlot distriblution of bootstrap pivot T
MCResultResampling.printSummaryPrint Regression-Analysis Summary for Objects of class...
mcr-packageMethod Comparison Regression
mc.wdemingConstCVCalculate Weighted Deming Regression
mc.wlinregCalculate Weighted Ordinary Linear Regression and Estimate...
newMCResultMCResult Object Constructor with Matrix in Wide Format as...
newMCResultAnalyticalMCResultAnalytical object constructor with matrix in wide...
newMCResultBCaMCResultBCa object constructor with matrix in wide format as...
newMCResultJackknifeMCResultJackknife Object Constructor with Matrix in Wide...
newMCResultResamplingMCResultResampling object constructor with matrix in wide...
mcr documentation built on May 2, 2019, 2:49 p.m.