Checking the reliability of predictions via the CORP approach, which generates provably statistically 'C'onsistent, 'O'ptimally binned, and 'R'eproducible reliability diagrams using the 'P'ool-adjacent-violators algorithm. See Dimitriadis, Gneiting, Jordan (2021) <doi:10.1073/pnas.2016191118>.
Version: 0.2.1 Depends: R (≥ 3.5) Imports: magrittr, tidyr, ggplot2, ggExtra, dplyr, purrr, rlang, tibble, vctrs, bde Suggests: monotone Published: 2022-06-29 DOI: 10.32614/CRAN.package.reliabilitydiag Author: Timo Dimitriadis [aut], Alexander I. Jordan [aut, cre] Maintainer: Alexander I. Jordan <alexander.jordan at h-its.org> License: GPL-3 URL: https://github.com/aijordan/reliabilitydiag/ NeedsCompilation: no Citation: reliabilitydiag citation info Materials: NEWS CRAN checks: reliabilitydiag results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=reliabilitydiag to link to this page.
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