Calibration Bands R package calibrationband version 0.2.1 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>. Software Depends: R (>= 3.3) Imports: Rcpp, ggplot2, tibble, dplyr, tidyr, sp, methods, base, stats, magrittr, rlang, tidyselect LinkingTo: Rcpp Marius Puke <marius.puke@uni-hohenheim.de> Comprehensive R Archive Network (CRAN) Timo Dimitriadis [aut], Alexander Henzi [aut], Marius Puke [aut, cre] GPL-3 2022-08-09 application/tgz https://CRAN.R-project.org/package=calibrationband doi:10.32614/CRAN.package.calibrationband