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:	0.2.1
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:

Reference manual:

reliabilitydiag.pdf

Downloads:

Package source:	reliabilitydiag_0.2.1.tar.gz
Windows binaries:	r-devel: reliabilitydiag_0.2.1.zip, r-release: reliabilitydiag_0.2.1.zip, r-oldrel: reliabilitydiag_0.2.1.zip
macOS binaries:	r-release (arm64): reliabilitydiag_0.2.1.tgz, r-oldrel (arm64): reliabilitydiag_0.2.1.tgz, r-release (x86_64): reliabilitydiag_0.2.1.tgz, r-oldrel (x86_64): reliabilitydiag_0.2.1.tgz
Old sources:	reliabilitydiag archive

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