Package: CalibratR
Type: Package
Title: Mapping ML Scores to Calibrated Predictions
Version: 0.1.2
Author: Johanna Schwarz, Dominik Heider
Maintainer: Dominik Heider <heiderd@mathematik.uni-marburg.de>
Description: 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). Please cite this paper: Schwarz J and Heider D, Bioinformatics 2019, 35(14):2458-2465.
License: LGPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10.0)
Imports: ggplot2, pROC, reshape2, parallel, foreach, stats,
        fitdistrplus, doParallel
NeedsCompilation: no
Packaged: 2019-08-19 12:29:09 UTC; dominikheider
Repository: CRAN
Date/Publication: 2019-08-19 13:00:05 UTC
Built: R 4.6.0; ; 'Wed, 11 Mar 2026 16:52:09 +0900'; unix
