Source: r-cran-calibratr
Standards-Version: 4.7.3
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Steffen Moeller <moeller@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
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,
 architecture-is-64-bit,
 architecture-is-little-endian,
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.