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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
SystemRequirements: C++20
LinkingTo: cpp11
LazyData: true
Config/pak/sysreqs: libfontconfig1-dev libfreetype6-dev libfribidi-dev
        libharfbuzz-dev libicu-dev
Repository: https://aijordan.r-universe.dev
Date/Publication: 2024-06-13 12:15:53 UTC
RemoteUrl: https://github.com/aijordan/triptych
RemoteRef: HEAD
RemoteSha: 62f8591e13a7560f23e43fec37a05d3d908ab88a
NeedsCompilation: yes
Packaged: 2026-09-24 09:41:50 UTC; root
Author: Timo Dimitriadis [aut, cph],
  Alexander I. Jordan [aut, cre, cph]
Maintainer: Alexander I. Jordan <alexander.jordan@h-its.org>