Function reference • evalcast

Creating or importing predictions
`get_predictions()`	Get predictions
`get_forecaster_predictions()`	Get predictions from a forecaster on the COVID Hub
`get_forecast_dates()`	Get forecast dates per forecaster given select filtering criteria
`get_zoltar_forecast_dates()`	Get available forecast dates for a COVID forecaster on Zoltar
`get_zoltar_predictions()`	Get predictions from a COVID forecaster in Zoltar
`covidhub_probs()`	Vector of quantiles used for submission to the COVID 19 Forecast Hub
`get_covidhub_forecast_dates()`	Get available forecast dates for a forecaster on the COVID Hub
`get_covidhub_forecaster_names()`	List all COVID forecast models available
`get_covidhub_predictions()`	Get predictions from forecasters on the COVID Hub
Evaluating predictions
`evaluate_covid_predictions()`	Create a score card data frame based on covid forecasts
`evaluate_predictions()`	Create a score card data frame
`weighted_interval_score()`	Compute weighted interval score
`sharpness()`	Sharpness component of the weighted interval score
`overprediction()`	Overprediction component of the weighted interval score
`underprediction()`	Underprediction component of the weighted interval score
`absolute_error()`	Compute absolute error
`interval_coverage()`	Generate interval coverage error measure function
`get_actuals()`	Retrieve actual results for provided forecasts
Summarizing scorecards or predictions
`compute_actual_vs_nominal_prob()`	Compute calibration of a quantile forecaster
`compute_calibration()`	Compute calibration of a quantile forecaster
`compute_coverage()`	Compute observed coverage from a quantile forecaster
`compute_width()`	Summarize forecast interval widths
`scale_by_forecaster()`	Scale error measures based on those of a particular forecaster.
`filter_predictions()`	Drop irrelevant predictions
Visualizing performance
`plot_calibration()`	Plot calibration curves
`plot_canonical()`	A canonical function for creating plots within evalcast
`plot_coverage()`	Plot interval coverage
`plot_trajectory()`	Plot predictions along with truth
`plot_width()`	Plot interval width
Example forecasters
`baseline_forecaster()`	Baseline forecaster
Utilities
`get_target_period()`	Get the target period for a forecast date, incidence period and ahead
`get_target_ahead()`	Compute forecast target date in days
`format_traditional_calib_plot()`	ggplot formatting for traditional calibration plot.
`format_wedgeplot()`	ggplot formatting for wedge calibration plot.
`setup_wedgeplot()`	Preprocessing for wedge calibration plot
`collapse_cards()`	Remove all quantile forecasts
`averaging_checks()`	Check if quantile forecasts are commensurate across groups
`intersect_averagers()`	Find common averaging "locations"
`average_to_epiweek()` `sum_to_epiweek()`	Summarize value over the trailing epiweek
`as.predictions_cards()`	Convert forecasts into a format compatible with all `predictions_cards`

Reference

Creating or importing predictions

Evaluating predictions

Summarizing scorecards or predictions

Visualizing performance

Example forecasters

Utilities