metrics_sample: Default metrics and scoring rules sample-based forecasts

In epiforecasts/scoringutils: Utilities for Scoring and Assessing Predictions

Default metrics and scoring rules sample-based forecasts

Description

Helper function that returns a named list of default scoring rules suitable for forecasts in a sample-based format.

The default scoring rules are:

• "crps" = crps_sample()

• "log_score" = logs_sample()

• "dss" = dss_sample()

• "mad" = mad_sample()

• "bias" = bias_sample()

• "ae_median" = ae_median_sample()

• "se_mean" = se_mean_sample()

Usage

metrics_sample(select = NULL, exclude = NULL)

Arguments

select	A character vector of scoring rules to select from the list. If select is NULL (the default), all possible scoring rules are returned.
exclude	A character vector of scoring rules to exclude from the list. If select is not NULL, this argument is ignored.

Value

A list of scoring rules.

Examples

metrics_sample()
metrics_sample(select = "mad")

epiforecasts/scoringutils documentation built on April 23, 2024, 4:56 p.m.