Utilities for Scoring and Assessing Predictions

---

Documentation for package ‘scoringutils’ version 1.2.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

abs_error	Absolute Error
add_coverage	Add coverage of central prediction intervals
ae_median_quantile	Absolute Error of the Median (Quantile-based Version)
ae_median_sample	Absolute Error of the Median (Sample-based Version)
available_metrics	Available metrics in scoringutils
avail_forecasts	Display Number of Forecasts Available
bias_quantile	Determines Bias of Quantile Forecasts
bias_range	Determines Bias of Quantile Forecasts based on the range of the prediction intervals
bias_sample	Determines bias of forecasts
brier_score	Brier Score
check_forecasts	Check forecasts
correlation	Correlation Between Metrics
crps_sample	Ranked Probability Score
dss_sample	Dawid-Sebastiani Score
example_binary	Binary Forecast Example Data
example_continuous	Continuous Forecast Example Data
example_integer	Integer Forecast Example Data
example_point	Point Forecast Example Data
example_quantile	Quantile Example Data
example_quantile_forecasts_only	Quantile Example Data - Forecasts only
example_truth_only	Truth data only
find_duplicates	Find duplicate forecasts
interval_score	Interval Score
logs_binary	Log Score for Binary outcomes
logs_sample	Logarithmic score
log_shift	Log transformation with an additive shift
mad_sample	Determine dispersion of a probabilistic forecast
make_NA	Make Rows NA in Data for Plotting
make_na	Make Rows NA in Data for Plotting
merge_pred_and_obs	Merge Forecast Data And Observations
metrics	Summary information for selected metrics
pairwise_comparison	Do Pairwise Comparisons of Scores
pit	Probability Integral Transformation (data.frame Format)
pit_sample	Probability Integral Transformation (sample-based version)
plot_avail_forecasts	Visualise Where Forecasts Are Available
plot_correlation	Plot Correlation Between Metrics
plot_heatmap	Create a Heatmap of a Scoring Metric
plot_interval_coverage	Plot Interval Coverage
plot_pairwise_comparison	Plot Heatmap of Pairwise Comparisons
plot_pit	PIT Histogram
plot_predictions	Plot Predictions vs True Values
plot_quantile_coverage	Plot Quantile Coverage
plot_ranges	Plot Metrics by Range of the Prediction Interval
plot_score_table	Plot Coloured Score Table
plot_wis	Plot Contributions to the Weighted Interval Score
print.scoringutils_check	Print output from 'check_forecasts()'
quantile_score	Quantile Score
sample_to_quantile	Change Data from a Sample Based Format to a Quantile Format
score	Evaluate forecasts
set_forecast_unit	Set unit of a single forecast manually
se_mean_sample	Squared Error of the Mean (Sample-based Version)
squared_error	Squared Error
summarise_scores	Summarise scores as produced by 'score()'
summarize_scores	Summarise scores as produced by 'score()'
theme_scoringutils	Scoringutils ggplot2 theme
transform_forecasts	Transform forecasts and observed values