CalibrationCurves: Validating predicted probabilities against binary events.

Package to generate logistic and flexible calibration curves and related statistics. Based on the val.prob function from Frank Harrell’s rms package.

Installation

On current R (>= 3.0.0)

• Development version from Github:

library("devtools"); install_github("BavoDC/CalibrationCurves", dependencies = TRUE)

(This requires devtools >= 1.6.1, and installs the “master” (development) branch.) This approach builds the package from source, i.e. make and compilers must be installed on your system – see the R FAQ for your operating system; you may also need to install dependencies manually.

Contact

If you have questions, remarks or suggestions regarding the package, you can contact me at bavo.decock@kuleuven.be.

Citation

If you use this package, please cite:

• De Cock, B., Nieboer, D., Van Calster, B., Steyerberg, E.W., Vergouwe, Y. (2016). CalibrationCurves: Calibration performance. R package version 0.1.2. https://github.com/BavoDC/CalibrationCurves
• Van Calster, B., Nieboer, D., Vergouwe, Y., De Cock, B., Pencina, M.J., 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