metrics_binary: Default metrics and scoring rules for binary forecasts

In epiforecasts/scoringutils: Utilities for Scoring and Assessing Predictions

Default metrics and scoring rules for binary forecasts

Description

Helper function that returns a named list of default scoring rules suitable for binary forecasts.

The default scoring rules are:

• "brier_score" = brier_score()

• "log_score" = logs_binary()

Usage

metrics_binary(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_binary()
metrics_binary(select = "brier_score")
metrics_binary(exclude = "log_score")

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