Package: calibrationband
Type: Package
Title: Calibration Bands
Version: 0.2.1
Authors@R: c(
    person(given = "Timo",
           family = "Dimitriadis",
           role = "aut"),
    person(given = "Alexander",
           family = "Henzi",
           role = "aut"),
    person(given = "Marius",
           family = "Puke",
           role = c("aut", "cre"),
           email = "marius.puke@uni-hohenheim.de"))
Description: Package to assess the calibration of probabilistic classifiers using confidence bands for monotonic functions. Besides testing the classical goodness-of-fit null hypothesis of perfect calibration, the confidence bands calculated within that package facilitate inverted goodness-of-fit tests whose rejection allows for a sought-after conclusion of a sufficiently well-calibrated model. The package creates flexible graphical tools to perform these tests.  For construction details see also Dimitriadis, Dümbgen, Henzi, Puke, Ziegel (2022) <arXiv:2203.04065>. 
URL: https://github.com/marius-cp/calibrationband,
        https://marius-cp.github.io/calibrationband/
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.2
Depends: R (>= 3.3)
LinkingTo: Rcpp
Imports: Rcpp, ggplot2, tibble, dplyr, tidyr, sp, methods, base, stats,
        magrittr, rlang, tidyselect
NeedsCompilation: yes
Packaged: 2022-08-08 14:49:15 UTC; mp
Author: Timo Dimitriadis [aut],
  Alexander Henzi [aut],
  Marius Puke [aut, cre]
Maintainer: Marius Puke <marius.puke@uni-hohenheim.de>
Repository: CRAN
Date/Publication: 2022-08-09 14:40:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 16:53:56 UTC; unix
Archs: calibrationband.so.dSYM
