assert_input_quantile {scoringutils} | R Documentation |
Function assesses whether the inputs correspond to the requirements for scoring quantile-based forecasts.
assert_input_quantile(
observed,
predicted,
quantile_level,
unique_quantile_levels = TRUE
)
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 |
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. |
unique_quantile_levels |
Whether the quantile levels are required to be
unique ( |
Returns NULL invisibly if the assertion was successful and throws an error otherwise.