CalibrationCurves {CalibrationCurves}R Documentation

General information on package and function


Some years ago, Yvonne Vergouwe and Ewout Steyerberg adapted the function val.prob from the rms-package ( into and added the following functions to val.prob:

In December 2015, Bavo De Cock, Daan Nieboer, and Ben Van Calster adapted this to

Since then, several new features have been added and are still being added. The most current version of this package can always be found on and can easily be installed using the following code: install.packages("devtools") # if not yet installed require(devtools) install_git("")


Steyerberg, E.W.Van Calster, B., Pencina, M.J. (2011). Performance measures for prediction models and markers : evaluation of predictions and classifications. Revista Espanola de Cardiologia, 64(9), pp. 788-794

Van Calster, B., Nieboer, D., Vergouwe, Y., De Cock, B., Pencina M., Steyerberg E.W. (2016). A calibration hierarchy for risk models was defined: from utopia to empirical data. Journal of Clinical Epidemiology, 74, pp. 167-176

Van Hoorde, K., Van Huffel, S., Timmerman, D., Bourne, T., Van Calster, B. (2015). A spline-based tool to assess and visualize the calibration of multiclass risk predictions. Journal of Biomedical Informatics, 54, pp. 283-93

[Package CalibrationCurves version 1.0.0 Index]