# 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