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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 |
| 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 |
| Reference manual: | reliabilitydiag.pdf |
| 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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