The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

scoringutils: Utilities for Scoring and Assessing Predictions

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: 2.0.0
Depends: R (≥ 4.0)
Imports: checkmate, cli, data.table, ggplot2 (≥ 3.4.0), methods, Metrics, purrr, scoringRules, stats
Suggests: ggdist, kableExtra, knitr, magrittr, rmarkdown, testthat (≥ 3.1.9), vdiffr
Published: 2024-10-31
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 <nikosbosse at gmail.com>
BugReports: https://github.com/epiforecasts/scoringutils/issues
License: MIT + file LICENSE
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

Documentation:

Reference manual: scoringutils.pdf
Vignettes: Deprecated functions (source, R code)
Deprecated Visualisations (source, R code)
Scoring rules in 'scoringutils' (source, R code)

Downloads:

Package source: scoringutils_2.0.0.tar.gz
Windows binaries: r-devel: scoringutils_2.0.0.zip, r-release: scoringutils_2.0.0.zip, r-oldrel: scoringutils_2.0.0.zip
macOS binaries: r-release (arm64): scoringutils_2.0.0.tgz, r-oldrel (arm64): scoringutils_2.0.0.tgz, r-release (x86_64): scoringutils_2.0.0.tgz, r-oldrel (x86_64): scoringutils_2.0.0.tgz
Old sources: scoringutils archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=scoringutils to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.