Man pages for scoringutils
Utilities for Scoring and Assessing Predictions

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
bias_sample	Determines bias of forecasts
brier_score	Brier Score
check_equal_length	Check Length
check_forecasts	Check forecasts
check_metrics	Check whether the desired metrics are available in...
check_not_null	Check Variable is not NULL
check_predictions	Check Prediction Input For Lower-level Scoring Functions
check_summary_params	Check input parameters for 'summarise_scores()'
check_true_values	Check Observed Value Input For Lower-level Scoring Functions
collapse_messages	Collapse several messages to one
compare_two_models	Compare Two Models Based on Subset of Common Forecasts
correlation	Correlation Between Metrics
crps_sample	Ranked Probability Score
delete_columns	Delete Columns From a Data.table
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
geom_mean_helper	Calculate Geometric Mean
get_forecast_unit	Get unit of a single forecast
get_prediction_type	Get prediction type of a forecast
get_target_type	Get type of the target true values of a forecast
infer_rel_skill_metric	Infer metric for pairwise comparisons
interval_score	Interval Score
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
pairwise_comparison_one_group	Do Pairwise Comparison for one Set of Forecasts
permutation_test	Simple permutation test
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
quantile_to_range_long	Change Data from a Plain Quantile Format to a Long Range...
range_long_to_quantile	Change Data from a Range Format to a Quantile Format
sample_to_quantile	Change Data from a Sample Based Format to a Quantile Format
sample_to_range_long	Change Data from a Sample Based Format to a Long Interval...
score	Evaluate forecasts
score_binary	Evaluate forecasts in a Binary Format
score_quantile	Evaluate forecasts in a Quantile-Based Format
score_sample	Evaluate forecasts in a Sample-Based Format (Integer or...
scoringutils-package	scoringutils: Utilities for Scoring and Assessing Predictions
se_mean_sample	Squared Error of the Mean (Sample-based Version)
squared_error	Squared Error
summarise_scores	Summarise scores as produced by 'score()'
theme_scoringutils	Scoringutils ggplot2 theme