Package: scoringutils 2.0.0
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>.
Authors:
scoringutils_2.0.0.tar.gz
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scoringutils.pdf |scoringutils.html✨
scoringutils/json (API)
NEWS
# Install 'scoringutils' in R: |
install.packages('scoringutils', repos = c('https://epiforecasts.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/epiforecasts/scoringutils/issues
Pkgdown:https://epiforecasts.io
- example_binary - Binary forecast example data
- example_nominal - Nominal example data
- example_point - Point forecast example data
- example_quantile - Quantile example data
- example_sample_continuous - Continuous forecast example data
- example_sample_discrete - Discrete forecast example data
forecast-evaluationforecasting
Last updated 1 months agofrom:efb41afd99 (on v2.0.0). Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 30 2024 |
R-4.5-win | OK | Nov 30 2024 |
R-4.5-linux | OK | Nov 30 2024 |
R-4.4-win | OK | Nov 30 2024 |
R-4.4-mac | OK | Nov 30 2024 |
R-4.3-win | OK | Nov 30 2024 |
R-4.3-mac | OK | Nov 30 2024 |
Exports:add_relative_skillae_median_quantileae_median_sampleas_forecast_binaryas_forecast_nominalas_forecast_pointas_forecast_quantileas_forecast_sampleassert_forecastbias_quantilebias_samplebrier_scorecrps_sampledispersion_quantiledispersion_sampledss_sampleget_correlationsget_coverageget_duplicate_forecastsget_forecast_countsget_forecast_unitget_metricsget_pairwise_comparisonsget_pit_histograminterval_coverageis_forecastis_forecast_binaryis_forecast_nominalis_forecast_pointis_forecast_quantileis_forecast_samplelog_shiftlogs_binarylogs_nominallogs_samplemad_samplenew_forecastoverprediction_quantileoverprediction_samplepit_histogram_sampleplot_correlationsplot_forecast_countsplot_heatmapplot_interval_coverageplot_pairwise_comparisonsplot_quantile_coverageplot_wisquantile_scorescorese_mean_sampleselect_metricssummarise_scoressummarize_scorestheme_scoringutilstransform_forecastsunderprediction_quantileunderprediction_samplewis
Dependencies:backportscheckmateclicolorspacedata.tableevaluatefansifarverggplot2gluegtablehighrisobandknitrlabelinglatticelifecyclemagrittrMASSMatrixMetricsmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerRcppRcppArmadillorlangscalesscoringRulestibbleutf8vctrsviridisLitewithrxfunyaml
Deprecated functions
Rendered fromDeprecated-functions.Rmd
usingknitr::rmarkdown
on Nov 30 2024.Last update: 2024-10-30
Started: 2024-04-04
Deprecated Visualisations
Rendered fromDeprecated-visualisations.Rmd
usingknitr::rmarkdown
on Nov 30 2024.Last update: 2024-10-30
Started: 2024-03-18
Scoring rules in scoringutils
Rendered fromscoring-rules.Rmd
usingknitr::rmarkdown
on Nov 30 2024.Last update: 2024-09-16
Started: 2024-04-08