scoringutils
2.2.0Utilities for Scoring and Assessing Predictions
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-07-1112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1914 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-1213 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 98%
- Documented parameters
- 99%
- Return-value docs
- 94%
- References docs
- 14%
Downloads
Repository
Issues over time
PRs over time
Repository practices
7 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/epiforecasts/scoringutils on 2026-07-19.
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Dependencies
Code & Tests
- Cyclomatic complexity
- 1.0 median / 9 max
- Test cases
- 271 / 1.10 per code line
Test coverage
Line coverage
98%
Expression
98.2%
Tests / Examples
98.0% / 66% ex
Functions
173 68 exported
Complexity
2.1 avg / 9 max
Call network
173 nodes / 255 edges
Call graph
Open call graph →Lowest coverage
173 functions| Function | Cyclo | Coverage |
|---|---|---|
| get_pit_histogram.default | 1 | 0% |
| score.forecast_ordinal | 1 | 0% |
| assert_input_ordinal | 2 | 38% |
| permutation_test | 3 | 78% |
| get_pit_histogram.forecast_quantile | 5 | 83% |
| assert_forecast.forecast_ordinal | 3 | 85% |
People & History
13 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 2.2.0Latest
- 2.1.22025-08-25 · diff ↗
- 2.1.12025-06-26 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 2.1.02025-03-03 · diff ↗
- 2.0.02024-10-31 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.2.22023-11-29 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.1.02023-01-30 · diff ↗
- 1.0.12022-08-17 · diff ↗
- 1.0.02022-05-13 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.1.7.22021-07-21 · diff ↗
- 0.1.72021-07-14 · diff ↗
Show 4 earlier events
- RR 4.1.0 released · 2021-05-18
- 0.1.42020-11-17 · diff ↗
- 0.1.02020-06-14
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-06-14
- Total releases
- 13 / 6 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1
- Bundled data
- 683 KB / 8 files
- Download size
- 3.6 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet