CalibratR: Mapping ML Scores to Calibrated Predictions

Transforms your uncalibrated Machine Learning scores to well-calibrated prediction estimates that can be interpreted as probability estimates. The implemented BBQ (Bayes Binning in Quantiles) model is taken from Naeini (2015, ISBN:0-262-51129-0).

Version: 0.1.1
Depends: R (≥ 2.10.0)
Imports: ggplot2, pROC, reshape2, parallel, foreach, stats, fitdistrplus, doParallel
Published: 2018-08-27
Author: Johanna Schwarz
Maintainer: Dominik Heider <heiderd at>
License: LGPL-3
NeedsCompilation: no
CRAN checks: CalibratR results


Reference manual: CalibratR.pdf
Package source: CalibratR_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: CalibratR_0.1.1.tgz, r-oldrel: CalibratR_0.1.1.tgz
Old sources: CalibratR archive


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