Package: scoringutils
Title: Utilities for Scoring and Assessing Predictions
Version: 2.2.0
Language: en-GB
Authors@R: c(
    person(given = "Nikos",
           family = "Bosse",
           role = c("aut", "cre"),
           email = "nikosbosse@gmail.com",
           comment = c(ORCID = "0000-0002-7750-5280")),
    person(given = "Sam",
           family = "Abbott",
           role = c("aut"),
           email = "contact@samabbott.co.uk",
           comment = c(ORCID = "0000-0001-8057-8037")),
    person(given = "Hugo",
           family = "Gruson",
           role = c("aut"),
           email = "hugo.gruson+R@normalesup.org",
           comment = c(ORCID = "0000-0002-4094-1476")),
    person(given = "Johannes",
           family = "Bracher",
           role = c("ctb"),
           email = "johannes.bracher@kit.edu",
           comment = c(ORCID = "0000-0002-3777-1410")),
    person(given = "Toshiaki Asakura",
           role = c("ctb"),
           email = "toshiaki.asa9ra@gmail.com",
           comment = c(ORCID = "0000-0001-8838-785X")),
    person(given = "James Mba",
           family = "Azam",
           role = c("ctb"),
           email = "james.azam@lshtm.ac.uk",
           comment = c(ORCID = "0000-0001-5782-7330")),
    person("Sebastian", "Funk",
            email = "sebastian.funk@lshtm.ac.uk",
            role = c("aut")),
    person(given = "Michael",
           family = "Chirico",
           role = c("ctb"),
           email = "michaelchirico4@gmail.com",
           comment = c(ORCID = "0000-0003-0787-087X")))
Description: 
    Facilitate the evaluation of forecasts in a convenient
    framework based on data.table. It allows user to to check their forecasts
    and diagnose issues, to visualise forecasts and missing data, to transform
    data before scoring, to handle missing forecasts, to aggregate scores, and
    to visualise the results of the evaluation. The package mostly focuses on
    the evaluation of probabilistic forecasts and allows evaluating several
    different forecast types and input formats. Find more information about the
    package in the Vignettes as well as in the accompanying paper,
    <doi:10.48550/arXiv.2205.07090>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: checkmate, cli, data.table (>= 1.16.0), ggplot2 (>= 3.4.0),
        methods, purrr, scoringRules (>= 1.1.3), stats
Suggests: ggdist, kableExtra, knitr, Metrics, rmarkdown, testthat (>=
        3.1.9), vdiffr
Config/Needs/website: r-lib/pkgdown, amirmasoudabdol/preferably
Config/testthat/edition: 3
RoxygenNote: 7.3.3
URL: https://doi.org/10.48550/arXiv.2205.07090,
        https://epiforecasts.io/scoringutils/,
        https://github.com/epiforecasts/scoringutils
BugReports: https://github.com/epiforecasts/scoringutils/issues
VignetteBuilder: knitr
Depends: R (>= 4.1)
NeedsCompilation: no
Packaged: 2026-04-05 20:16:53 UTC; nikos
Author: Nikos Bosse [aut, cre] (ORCID: <https://orcid.org/0000-0002-7750-5280>),
  Sam Abbott [aut] (ORCID: <https://orcid.org/0000-0001-8057-8037>),
  Hugo Gruson [aut] (ORCID: <https://orcid.org/0000-0002-4094-1476>),
  Johannes Bracher [ctb] (ORCID: <https://orcid.org/0000-0002-3777-1410>),
  Toshiaki Asakura [ctb] (ORCID: <https://orcid.org/0000-0001-8838-785X>),
  James Mba Azam [ctb] (ORCID: <https://orcid.org/0000-0001-5782-7330>),
  Sebastian Funk [aut],
  Michael Chirico [ctb] (ORCID: <https://orcid.org/0000-0003-0787-087X>)
Maintainer: Nikos Bosse <nikosbosse@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-05 20:40:12 UTC
Built: R 4.7.0; ; 2026-06-01 03:28:27 UTC; windows
