assert_input_binary: Assert that inputs are correct for binary forecast

In epiforecasts/scoringutils: Utilities for Scoring and Assessing Predictions

Assert that inputs are correct for binary forecast

Description

Function assesses whether the inputs correspond to the requirements for scoring binary forecasts.

Usage

assert_input_binary(observed, predicted)

Arguments

observed	Input to be checked. Should be a factor of length n with exactly two levels, holding the observed values. The highest factor level is assumed to be the reference level. This means that predicted represents the probability that the observed value is equal to the highest factor level.
predicted	Input to be checked. predicted should be a vector of length n, holding probabilities. Alternatively, predicted can be a matrix of size n x 1. Values represent the probability that the corresponding value in observed will be equal to the highest available factor level.

Value

Returns NULL invisibly if the assertion was successful and throws an error otherwise.

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