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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 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

Documentation:

Reference manual: triptych.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=triptych to link to this page.

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.