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)
avail_forecasts         Display Number of Forecasts Available
available_metrics       Available metrics in scoringutils
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
log_shift               Log transformation with an additive shift
logs_binary             Log Score for Binary outcomes
logs_sample             Logarithmic score
mad_sample              Determine dispersion of a probabilistic
                        forecast
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
se_mean_sample          Squared Error of the Mean (Sample-based
                        Version)
set_forecast_unit       Set unit of a single forecast manually
squared_error           Squared Error
summarise_scores        Summarise scores as produced by 'score()'
theme_scoringutils      Scoringutils ggplot2 theme
transform_forecasts     Transform forecasts and observed values
