Check that inputs are correct for binary forecast — check_input

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

Usage

check_input_binary(observed, predicted)

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.

Returns TRUE if the check was successful and a string with an error message otherwise.