Get the scores for every day for a location, forecast date, and scenario from the quantiles during the forecast period

Uses scoringutils to transform data and predictions using a log transform with a log shift of 1, and return the default scoring metrics

Usage

score_quantiles(quantiles, scenario, offset, metrics = quantile_metrics)

quantiles: a dataframe of the model estimated quantiles alongside the data you are evaluating against, during the nowcast and forecast period only
scenario: a string indicating the wastewater data scenario we're running
offset: Offset to use when transforming forecasts with scoringutils::log_shift() via scoringutils::transform_forecasts().
metrics: Vector of scoring metrics to output, passed as the metrics argument to scoringutils::score(). Default quantile_metrics

a dataframe containing a score for each day in the nowcast and forecast period