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>.

Package details

AuthorNikos Bosse [aut, cre] (<https://orcid.org/0000-0002-7750-5280>), Sam Abbott [aut] (<https://orcid.org/0000-0001-8057-8037>), Hugo Gruson [aut] (<https://orcid.org/0000-0002-4094-1476>), Johannes Bracher [ctb] (<https://orcid.org/0000-0002-3777-1410>), Toshiaki Asakura [ctb] (<https://orcid.org/0000-0001-8838-785X>), James Mba Azam [ctb] (<https://orcid.org/0000-0001-5782-7330>), Sebastian Funk [aut], Michael Chirico [ctb] (<https://orcid.org/0000-0003-0787-087X>)
MaintainerNikos Bosse <nikosbosse@gmail.com>
LicenseMIT + file LICENSE
Version2.1.0
URL https://doi.org/10.48550/arXiv.2205.07090 https://epiforecasts.io/scoringutils/ https://github.com/epiforecasts/scoringutils
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("scoringutils")

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scoringutils documentation built on April 3, 2025, 6:07 p.m.