| CalibrationCurves-package | General information on the package and its functions |
| %<=% | Infix operator to run background jobs |
| %{}% | Infix operator to run background jobs |
| .rcspline.plot | Internal function |
| auc.nonpara.mw | AUC Based on the Mann-Whitney Statistic |
| CGC | Internal function for the Clustered Grouped Calibration Curve (CGC) |
| clustertestdata | Simulated data sets to illustrate the package functionality |
| clustertraindata | Simulated data sets to illustrate the package functionality |
| genCalCurve | Calibration performance using the generalized calibration framework |
| LibraryM | Function to load multiple packages at once |
| MAC2 | Internal function for the Meta-Analytical Calibration Curve (MAC2) |
| MIXC | Internal function for the Mixed-Effects Model Calibration Curve (MIXC) |
| poissontestdata | Simulated data sets to illustrate the package functionality |
| poissontraindata | Simulated data sets to illustrate the package functionality |
| print.CalibrationCurve | Print function for a CalibrationCurve object |
| print.ClusteredCalibrationCurve | Print function for a ClusteredCalibrationCurve object |
| print.GeneralizedCalibrationCurve | Print function for a GeneralizedCalibrationCurve object |
| print.ggplotCalibrationCurve | Print function for a ggplotCalibrationCurve object |
| print.SurvivalCalibrationCurve | Print function for a SurvivalCalibrationCurve object |
| testdata | Simulated data sets to illustrate the package functionality |
| testDataSurvival | Breast Cancer Survival Data from Rotterdam and Germany |
| traindata | Simulated data sets to illustrate the package functionality |
| trainDataSurvival | Breast Cancer Survival Data from Rotterdam and Germany |
| val.prob.ci.2 | Calibration performance |
| valProbCluster | Calibration performance with cluster adjustment (ggplot version) |
| valProbggplot | Calibration performance: ggplot version |
| valProbSurvival | Plot a calibration curve for a Cox Proportional Hazards model |