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 (2023) <arXiv:2301.10803>.

Version: 0.1.2
Depends: R (≥ 4.2)
Imports: ggplot2, patchwork, pROC, monotone, tidyr, vctrs, dplyr, purrr, tibble, rlang, tidyselect, class, scales, geomtextpath, ggrepel
LinkingTo: cpp11
Suggests: testthat (≥ 3.0.0)
Published: 2023-10-03
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_0.1.2.tar.gz
Windows binaries: r-devel: triptych_0.1.2.zip, r-release: triptych_0.1.2.zip, r-oldrel: triptych_0.1.2.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available

Linking:

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