Provides a collection of metrics and proper scoring rules (Tilmann Gneiting & Adrian E Raftery (2007) <doi:10.1198/016214506000001437>, Jordan, A., Krüger, F., & Lerch, S. (2019) <doi:10.18637/jss.v090.i12>) within a consistent framework for evaluation, comparison and visualisation of forecasts. In addition to proper scoring rules, functions are provided to assess bias, sharpness and calibration (Sebastian Funk, Anton Camacho, Adam J. Kucharski, Rachel Lowe, Rosalind M. Eggo, W. John Edmunds (2019) <doi:10.1371/journal.pcbi.1006785>) of forecasts. Several types of predictions (e.g. binary, discrete, continuous) which may come in different formats (e.g. forecasts represented by predictive samples or by quantiles of the predictive distribution) can be evaluated. Scoring metrics can be used either through a convenient data.frame format, or can be applied as individual functions in a vector / matrix format. All functionality has been implemented with a focus on performance and is robustly tested. Find more information about the package in the accompanying paper (<doi:10.48550/arXiv.2205.07090>).
Version: | 1.2.2 |
Depends: | R (≥ 3.6) |
Imports: | data.table, ggdist (≥ 3.2.0), ggplot2 (≥ 3.4.0), lifecycle, methods, rlang, scoringRules, stats |
Suggests: | kableExtra, knitr, magrittr, rmarkdown, testthat, vdiffr |
Published: | 2023-11-29 |
DOI: | 10.32614/CRAN.package.scoringutils |
Author: | Nikos Bosse [aut, cre], Sam Abbott [aut], Hugo Gruson [aut], Johannes Bracher [ctb], Sebastian Funk [aut] |
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 [issues need fixing before 2024-10-31] |
Reference manual: | scoringutils.pdf |
Vignettes: |
Details on the metrics implemented in 'scoringutils' Scoring forecasts directly Getting started |
Package source: | scoringutils_1.2.2.tar.gz |
Windows binaries: | r-devel: scoringutils_1.2.2.zip, r-release: scoringutils_1.2.2.zip, r-oldrel: scoringutils_1.2.2.zip |
macOS binaries: | r-release (arm64): scoringutils_1.2.2.tgz, r-oldrel (arm64): scoringutils_1.2.2.tgz, r-release (x86_64): scoringutils_1.2.2.tgz, r-oldrel (x86_64): scoringutils_1.2.2.tgz |
Old sources: | scoringutils archive |
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