reliabilitydiag: Reliability Diagrams Using Isotonic Regression

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: 0.2.0
Depends: R (≥ 3.3)
Imports: magrittr, tidyr, ggplot2, ggExtra, dplyr, purrr, rlang, tibble, vctrs, bde
Suggests: monotone
Published: 2021-11-02
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
CRAN checks: reliabilitydiag results

Documentation:

Reference manual: reliabilitydiag.pdf

Downloads:

Package source: reliabilitydiag_0.2.0.tar.gz
Windows binaries: r-devel: reliabilitydiag_0.2.0.zip, r-release: reliabilitydiag_0.2.0.zip, r-oldrel: reliabilitydiag_0.1.3.zip
macOS binaries: r-release (arm64): reliabilitydiag_0.2.0.tgz, r-release (x86_64): reliabilitydiag_0.2.0.tgz, r-oldrel: reliabilitydiag_0.1.3.tgz
Old sources: reliabilitydiag archive

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