Method Comparison Regression
Calculate difference between two numeric vectors that gives exactly ze...
Graphical Comparison of Regression Parameters and Associated Confidenc...
Include Legend
Analytical Confidence Interval
Resampling estimation of regression parameters and standard errors.
Bias Corrected and Accelerated Resampling Confidence Interval
Quantile Calculation for BCa
Quantile Method for Calculation of Resampling Confidence Intervals
Student Method for Calculation of Resampling Confidence Intervals
Bootstrap-t Method for Calculation of Resampling Confidence Intervals
Calculate Matrix of All Pair-wise Slope Angles
Calculate Matrix of All Pair-wise Slope Angles
Jackknife Confidence Interval
Compute Resampling T-statistic.
Calculate Unweighted Deming Regression and Estimate Standard Errors
Calculate ordinary linear Regression and Estimate Standard Errors
Returns Results of Calculations in Matrix Form
Passing-Bablok Regression for Large Datasets
Passing-Bablok Regression
Equivariant Passing-Bablok Regression
Calculate Weighted Deming Regression
Calculate Weighted Ordinary Linear Regression and Estimate Standard Er...
Method Comparison Regression
Comparison of Two Measurement Methods Using Regression Analysis
Class "MCResult"
Systematical Bias Between Reference Method and Test Method
Calculate CUSUM Statistics According to Passing & Bablok (1983)
Calculate Response with Confidence Interval.
Get Regression Coefficients
Get Data
Get Error Ratio
Get Fitted Values.
Get Regression Method
Get Regression Residuals
Get Weights of Data Points
MCResult Object Initialization
Scatter Plot Method X vs. Method Y
Plot Estimated Systematical Bias with Confidence Bounds
Bland-Altman Plot
Plot Residuals of an MCResult Object
Print Summary of a Regression Analysis
Class "MCResultAnalytical"
Caluculate Response
Initialize Method for 'MCResultAnalytical' Objects.
Print Regression-Analysis Summary for Objects of class 'MCResultAnalyt...
Class "MCResultBCa"
Compute Bootstrap-Summary for 'MCResultBCa' Objects.
Caluculate Response
Initialize Method for 'MCResultBCa' Objects.
Plot distriblution of bootstrap coefficients
Plot distriblution of bootstrap pivot T
Print Regression-Analysis Summary for Objects of class 'MCResultBCa'.
Class "MCResultJackknife"
Caluculate Response
Get-Method for Jackknife-Intercept Value.
Get-Method for Jackknife-Slope Value.
Jackknife Statistics
Relative Jackknife Influence Function
Initialize Method for 'MCResultJackknife' Objects.
Plotting the Relative Jackknife Influence Function
Print Regression-Analysis Summary for Objects of class 'MCResultJackkn...
Class "MCResultResampling"
Compute Bootstrap-Summary for 'MCResultResampling' Objects.
Caluculate Response
Initialize Method for 'MCResultAnalytical' Objects.
Plot distriblution of bootstrap coefficients
Plot distriblution of bootstrap pivot T
Print Regression-Analysis Summary for Objects of class 'MCResultResamp...
MCResult Object Constructor with Matrix in Wide Format as Input
MCResultAnalytical object constructor with matrix in wide format as in...
MCResultBCa object constructor with matrix in wide format as input.
MCResultJackknife Object Constructor with Matrix in Wide Format as Inp...
MCResultResampling object constructor with matrix in wide format as in...
Regression methods to quantify the relation between two measurement methods are provided by this package. In particular it addresses regression problems with errors in both variables and without repeated measurements. It implements the CLSI recommendations (see J. A. Budd et al. (2018, <https://clsi.org/standards/products/method-evaluation/documents/ep09/>) for analytical method comparison and bias estimation using patient samples. Furthermore, algorithms for Theil-Sen and equivariant Passing-Bablok estimators are implemented, see F. Dufey (2020, <doi:10.1515/ijb-2019-0157>) and J. Raymaekers and F. Dufey (2022, <arXiv:2202:08060>). A comprehensive overview over the implemented methods and references can be found in the manual pages "mcr-package" and "mcreg".