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: 2026-06-18 08:31:54 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2019-08-19 12:00:05 UTC
RemoteUrl: https://github.com/cran/CalibratR
RemoteRef: HEAD
RemoteSha: 5862b386b585388031e061638fc24f697b7e3330