Source: r-cran-calibratr Maintainer: Debian R Packages Maintainers Uploaders: Steffen Moeller Section: gnu-r Testsuite: autopkgtest-pkg-r Priority: optional Build-Depends: debhelper-compat (= 13), dh-r, r-base-dev, r-cran-ggplot2, r-cran-proc, r-cran-reshape2, r-cran-foreach, r-cran-fitdistrplus, r-cran-doparallel Standards-Version: 4.5.0 Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-calibratr Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-calibratr.git Homepage: https://cran.r-project.org/package=CalibratR Rules-Requires-Root: no Package: r-cran-calibratr Architecture: all Depends: ${R:Depends}, ${misc:Depends} Recommends: ${R:Recommends} Suggests: ${R:Suggests} Description: GNU R 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). Please cite this paper: Schwarz J and Heider D, Bioinformatics 2019, 35(14):2458-2465.