Man pages for epiforecasts/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 |
| log_shift | Log transformation with an additive shift |
| 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 |
| transform_forecasts | Transform forecasts and observed values |
