Package: triptych
Title: Diagnostic Graphics to Evaluate Forecast Performance
Version: 0.1.3
Authors@R: c(
    person(given = "Timo",
           family = "Dimitriadis",
           role = c("aut", "cph")),
    person(given = c("Alexander", "I."),
           family = "Jordan",
           role = c("aut", "cre", "cph"),
           email = "alexander.jordan@h-its.org")
  )
URL: https://github.com/aijordan/triptych/,
        https://aijordan.github.io/triptych/
Description: 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>.
License: MIT + file LICENSE
Depends: R (>= 4.2)
Imports: ggplot2, patchwork, pROC, monotone, tidyr, vctrs, dplyr,
        purrr, tibble, rlang, tidyselect, class, scales, geomtextpath
        (>= 0.1.4), ggrepel
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.1
SystemRequirements: C++20
LinkingTo: cpp11
LazyData: true
NeedsCompilation: yes
Packaged: 2024-06-13 13:16:12 UTC; jordanar
Author: Timo Dimitriadis [aut, cph],
  Alexander I. Jordan [aut, cre, cph]
Maintainer: Alexander I. Jordan <alexander.jordan@h-its.org>
Repository: CRAN
Date/Publication: 2024-06-13 15:50:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 13:29:39 UTC; unix
Archs: triptych.so.dSYM
