Package: scoringutils
Title: Utilities for Scoring and Assessing Predictions
Version: 2.2.0.9000
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 (>= 1.17.0), ggplot2 (>= 3.4.0),
        lifecycle, 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)
Roxygen: list(markdown = TRUE)
Repository: https://bisaloo.r-universe.dev
Date/Publication: 2026-06-30 16:37:08 UTC
RemoteUrl: https://github.com/epiforecasts/scoringutils
RemoteRef: HEAD
RemoteSha: 7cd4e61f52389862aeee60aca239dd98f4bd7aa4
NeedsCompilation: no
Packaged: 2026-06-30 16:45:14 UTC; root
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>