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Overall predictive performance is measured by a mean score (or loss), which decomposes into miscalibration, discrimination, and uncertainty components. The main focus is visualization of these distinct and complementary aspects in joint displays. See Dimitriadis, Gneiting, Jordan, Vogel (2024) <doi:10.1016/j.ijforecast.2023.09.007>.
Version: | 0.1.3 |
Depends: | R (≥ 4.2) |
Imports: | ggplot2, patchwork, pROC, monotone, tidyr, vctrs, dplyr, purrr, tibble, rlang, tidyselect, class, scales, geomtextpath (≥ 0.1.4), ggrepel |
LinkingTo: | cpp11 |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-06-13 |
DOI: | 10.32614/CRAN.package.triptych |
Author: | Timo Dimitriadis [aut, cph], Alexander I. Jordan [aut, cre, cph] |
Maintainer: | Alexander I. Jordan <alexander.jordan at h-its.org> |
License: | MIT + file LICENSE |
URL: | https://github.com/aijordan/triptych/, https://aijordan.github.io/triptych/ |
NeedsCompilation: | yes |
SystemRequirements: | C++20 |
Materials: | README NEWS |
CRAN checks: | triptych results |
Reference manual: | triptych.pdf |
Package source: | triptych_0.1.3.tar.gz |
Windows binaries: | r-devel: triptych_0.1.3.zip, r-release: triptych_0.1.3.zip, r-oldrel: triptych_0.1.3.zip |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
Old sources: | triptych archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.