Check that inputs are correct for quantile-based forecast — check_input

Function assesses whether the inputs correspond to the requirements for scoring quantile-based forecasts.

Usage

check_input_quantile(observed, predicted, quantile_level)

observed: Input to be checked. Should be a numeric vector with the observed values of size n.
predicted: Input to be checked. Should be nxN matrix of predictive quantiles, n (number of rows) being the number of data points and N (number of columns) the number of quantiles per forecast. If observed is just a single number, then predicted can just be a vector of size N.
quantile_level: Input to be checked. Should be a vector of size N that denotes the quantile levels corresponding to the columns of the prediction matrix.

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