assert_input_nominal: Assert that inputs are correct for nominal forecasts

In epiforecasts/scoringutils: Utilities for Scoring and Assessing Predictions

Assert that inputs are correct for nominal forecasts

Description

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

Usage

assert_input_nominal(observed, predicted, predicted_label)

Arguments

observed	Input to be checked. Should be a factor of length n with N levels holding the observed values. n is the number of observations and N is the number of possible outcomes the observed values can assume. output)
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.
predicted_label	Factor of length N with N levels, where N is the number of possible outcomes the observed values can assume.

Value

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

epiforecasts/scoringutils documentation built on Sept. 29, 2024, 4:30 p.m.