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

Usage

assert_input_interval(observed, lower, upper, interval_range)

Arguments

observed

Input to be checked. Should be a numeric vector with the observed values of size n.

lower

Input to be checked. Should be a numeric vector of size n that holds the predicted value for the lower bounds of the prediction intervals.

upper

Input to be checked. Should be a numeric vector of size n that holds the predicted value for the upper bounds of the prediction intervals.

interval_range

Input to be checked. Should be a vector of size n that denotes the interval range in percent. E.g. a value of 50 denotes a (25%, 75%) prediction interval.

Value

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