triptych: Diagnostic Graphics to Evaluate Forecast Performance

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>
License: MIT + file LICENSE
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:, r-release:, r-oldrel:
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


Please use the canonical form to link to this page.