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 (2020) <arXiv:2008.03033>.
| Version: | 0.1.3 |
| Depends: | R (≥ 3.1.0) |
| Imports: | magrittr, tidyr, ggplot2, ggExtra, dplyr, purrr, rlang, tibble, vctrs, bde |
| Published: | 2020-11-20 |
| 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 |
| Reference manual: | reliabilitydiag.pdf |
| Package source: | reliabilitydiag_0.1.3.tar.gz |
| Windows binaries: | r-devel: reliabilitydiag_0.1.3.zip, r-release: reliabilitydiag_0.1.3.zip, r-oldrel: reliabilitydiag_0.1.3.zip |
| macOS binaries: | r-release: reliabilitydiag_0.1.3.tgz, r-oldrel: reliabilitydiag_0.1.3.tgz |
Please use the canonical form https://CRAN.R-project.org/package=reliabilitydiag to link to this page.