CalibrationCurves: General information on package and val.prob.ci.2 function

Description References

Description

Some years ago, Yvonne Vergouwe and Ewout Steyerberg adapted the function val.prob from the rms-package (https://cran.r-project.org/web/packages/rms/rms.pdf) into val.prob.ci and added the following functions to val.prob:


In December 2015, Bavo De Cock, Daan Nieboer, and Ben Van Calster adapted this to val.prob.ci.2:


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 https://github.com/BavoDC and can easily be installed using the following code:

install.packages("devtools") # if not yet installed
require(devtools)
install_git("https://github.com/BavoDC/CalibrationCurves")

References

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


BavoDC/CalibrationCurves documentation built on Nov. 7, 2017, 6:47 a.m.