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Utilities for Scoring and Assessing Predictions

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We have this visualisation, which among others makes the point that you need quite a lot of samples for the sample-based log score to be reliable. ![image](https://github.com/user-attachments/assets/7f6f55b4-07af-4a0a-a663-aadf89e9361a) It was previously...

documentation

We have this nice illustration: ![image](https://github.com/user-attachments/assets/a346b3e0-2258-4e14-9749-630ce21d0691) It's not used in the manuscript anymore. But it would be nice to use it in a vignette explaining differences between scores. Related: #933,...

documentation

We have this illustration: ![image](https://github.com/user-attachments/assets/97148adf-860a-4250-bc31-563dd996ea25) Generated by this code: ``` library(ggplot2) library(patchwork) library(scoringutils) p1

documentation

`quantile_to_interval_numeric()`, for example, makes use of an internal `forecast_id` column. This might cause issues if there is already a `forecast_id` column in the input. We should likely prefix all internal...

good first issue
high-priority

(but happy to leave as is and we should maybe just open an issue to get rid of `check_columns_present` altogether) _Originally posted by @nikosbosse in https://github.com/epiforecasts/scoringutils/pull/915#discussion_r1768078954_ Seems like functionality can...

As mentioned in https://github.com/hubverse-org/hubEvals/pull/46 do we want to have any kind of special metric function factories for generating things like multiple interval coverages? I think the answer is potentially with...

enhancement

Maybe something like the following would be nice. Normal output ``` ex

enhancement
good first issue
help wanted