doi:10.48550/arXiv.2205.07090>.">

scoringutils: Utilities for Scoring and Assessing Predictions (original) (raw)

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>.

Version: 2.1.1
Depends: R (≥ 4.1)
Imports: checkmate, cli, data.table (≥ 1.16.0), ggplot2 (≥ 3.4.0), methods, Metrics, purrr, scoringRules (≥ 1.1.3), stats
Suggests: ggdist, kableExtra, knitr, magrittr, rmarkdown, testthat (≥ 3.1.9), vdiffr
Published: 2025-06-25
DOI: 10.32614/CRAN.package.scoringutils
Author: Nikos Bosse ORCID iD [aut, cre], Sam Abbott ORCID iD [aut], Hugo Gruson ORCID iD [aut], Johannes Bracher ORCID iD [ctb], Toshiaki Asakura ORCID iD [ctb], James Mba Azam ORCID iD [ctb], Sebastian Funk [aut], Michael Chirico ORCID iD [ctb]
Maintainer: Nikos Bosse
BugReports: https://github.com/epiforecasts/scoringutils/issues
License: MIT + file
URL: https://doi.org/10.48550/arXiv.2205.07090,https://epiforecasts.io/scoringutils/,https://github.com/epiforecasts/scoringutils
NeedsCompilation: no
Language: en-GB
Citation: scoringutils citation info
Materials: README NEWS
In views: TimeSeries
CRAN checks: scoringutils results

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