Assert that inputs are correct for nominal forecasts — assert_input

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

Usage

assert_input_nominal(observed, predicted, predicted_label)

observed: Input to be checked. Should be an unordered 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.
predicted: Input to be checked. Should be nxN matrix of predicted probabilities, n (number of rows) being the number of data points and N (number of columns) the number of possible outcomes the observed values can assume. If observed is just a single number, then predicted can just be a vector of size N. Values represent the probability that the corresponding value in observed will be equal to the factor level referenced in predicted_label.
predicted_label: Unordered factor of length N with N levels, where N is the number of possible outcomes the observed values can assume.

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