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seabbs merged 1 commit into from
May 12, 2026
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Update README to remove reference to google drive #1176

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9 changes: 5 additions & 4 deletions README.Rmd
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Expand Up @@ -31,18 +31,19 @@ library(knitr)

The `scoringutils` package facilitates the process of evaluating forecasts in R, using a convenient and flexible `data.table`-based framework. It provides broad functionality to check the input data 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 is easily extendable, meaning that users can supply their own scoring rules or extend existing classes to handle new types of forecasts.

The package underwent a major re-write. The most comprehensive documentation for the updated package is the [revised version](https://drive.google.com/file/d/1URaMsXmHJ1twpLpMl1sl2HW4lPuUycoj/view?usp=drive_link) of our [original](https://doi.org/10.48550/arXiv.2205.07090) `scoringutils` paper.

Another good starting point are the vignettes
A good starting point are the vignettes
<!-- vignettes on [Getting started](https://epiforecasts.io/scoringutils/articles/scoringutils.html), -->
[Details on the metrics implemented](https://epiforecasts.io/scoringutils/articles/metric-details.html) and [Scoring forecasts directly](https://epiforecasts.io/scoringutils/articles/scoring-forecasts-directly.html).
We also have several related manuscripts

<!-- > Nikos I. Bosse, Hugo Gruson, Anne Cori, Edwin van Leeuwen, Sebastian Funk and Sam Abbott (2022). _`Evaluating Forecasts with scoringutils in R`_. arXiv:2205.07090 <https://doi.org/10.48550/arXiv.2205.07090> -->

For further details on the specific issue of transforming forecasts for scoring see:
and

> Nikos I. Bosse, Sam Abbott, Anne Cori, Edwin van Leeuwen, Johannes Bracher\* and Sebastian Funk\* (\*: equal contribution) (2023). _`Scoring epidemiological forecasts on transformed scales`_, PLoS Comput Biol 19(8): e1011393 <https://doi.org/10.1371/journal.pcbi.1011393>

for specific details on transforming forecasts for scoring.

## Installation

Install the CRAN version of this package using
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