Scatter Plot Method X vs. Method Y
MCResultAnalytical.calcResponse
Caluculate Response
Caluculate Response
MCResultBCa.bootstrapSummary
Compute Bootstrap-Summary for 'MCResultBCa' Objects.
MCResultAnalytical.initialize
Initialize Method for 'MCResultAnalytical' Objects.
Initialize Method for 'MCResultBCa' Objects.
MCResultAnalytical.printSummary
Print Regression-Analysis Summary for Objects of class 'MCResultAnalytical'.
Print Summary of a Regression Analysis
Class "MCResultJackknife"
Class "MCResultAnalytical"
MCResultJackknife.printSummary
Print Regression-Analysis Summary for Objects of class 'MCResultJackknife'.
MCResult Object Initialization
Get Weights of Data Points
Class "MCResultResampling"
MCResultJackknife.initialize
Initialize Method for 'MCResultJackknife' Objects.
MCResultJackknife.getRJIF
Relative Jackknife Influence Function
MCResultJackknife.getJackknifeStatistics
Jackknife Statistics
Class "MCResultBCa"
Print Regression-Analysis Summary for Objects of class 'MCResultBCa'.
MCResultBCa.plotBootstrapT
Plot distriblution of bootstrap pivot T
MCResultJackknife.getJackknifeIntercept
Get-Method for Jackknife-Intercept Value.
MCResultBCa.plotBootstrapCoefficients
Plot distriblution of bootstrap coefficients
MCResultResampling.bootstrapSummary
Compute Bootstrap-Summary for 'MCResultResampling' Objects.
MCResultResampling.calcResponse
Caluculate Response
MCResultJackknife.getJackknifeSlope
Get-Method for Jackknife-Slope Value.
Include Legend
MCResultJackknife.calcResponse
Caluculate Response
Comparison of blood and serum creatinine measurement
Equivariant Passing-Bablok Regression
Analytical Confidence Interval
Bootstrap-t Method for Calculation of Resampling Confidence Intervals
Quantile Method for Calculation of Resampling Confidence Intervals
MCResultJackknife.plotwithRJIF
Plotting the Relative Jackknife Influence Function
Calculate Matrix of All Pair-wise Slope Angles
Calculate Matrix of All Pair-wise Slope Angles
Returns Results of Calculations in Matrix Form
MCResult Object Constructor with Matrix in Wide Format as Input
Comparison of Two Measurement Methods Using Regression Analysis
Graphical Comparison of Regression Parameters and Associated Confidence Intervals
Calculate Weighted Deming Regression
MCResultJackknife Object Constructor with Matrix in Wide Format as Input
Calculate difference between two numeric vectors that
gives exactly zero for very small relative differences.
Jackknife Confidence Interval
Compute Resampling T-statistic.
Passing-Bablok Regression for Large Datasets
Passing-Bablok Regression
Calculate Weighted Ordinary Linear Regression
and Estimate Standard Errors
MCResultAnalytical object constructor with matrix in wide format as input.
Method Comparison Regression
MCResultResampling.plotBootstrapT
Plot distriblution of bootstrap pivot T
MCResultBCa object constructor with matrix in wide format as input.
MCResultResampling object constructor with matrix in wide format as input.
MCResultResampling.initialize
Initialize Method for 'MCResultAnalytical' Objects.
MCResultResampling.plotBootstrapCoefficients
Plot distriblution of bootstrap coefficients
Bias Corrected and Accelerated Resampling Confidence Interval
Quantile Calculation for BCa
Calculate ordinary linear Regression
and Estimate Standard Errors
Calculate Unweighted Deming Regression and Estimate Standard Errors
Student Method for Calculation of Resampling Confidence Intervals
MCResultResampling.printSummary
Print Regression-Analysis Summary for Objects of class 'MCResultResampling'.
Resampling estimation of regression parameters and standard errors.
Get Regression Residuals
Calculate CUSUM Statistics According to Passing & Bablok (1983)
Systematical Bias Between Reference Method and Test Method
Get Fitted Values.
Get Data
Calculate Response with Confidence Interval.
Plot Residuals of an MCResult Object
Get Error Ratio
Get Regression Coefficients
Class "MCResult"
Get Regression Method
Bland-Altman Plot
Plot Estimated Systematical Bias with Confidence Bounds