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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.