Package index

All functions

auc.nonpara.mw()

AUC Based on the Mann-Whitney Statistic

CalibrationCurves-package

General information on the package and its functions

CGC()

Internal function for the Clustered Grouped Calibration Curve (CGC)

traindata testdata

Simulated data sets to illustrate the package functionality

.rcspline.plot()

Internal function

genCalCurve()

Calibration performance using the generalized calibration framework

`%<=%`

Infix operator to run background jobs

`%{}%`

Infix operator to run background jobs

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)

poissontraindata poissontestdata

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

trainDataSurvival testDataSurvival

Breast Cancer Survival Data from Rotterdam and Germany

traindata testdata

Simulated data sets to illustrate the package functionality

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