Description Usage Arguments See Also Examples
mase computes the mean absolute scaled error between two numeric
vectors. This function is only intended for time series data, where
numeric are numeric vectors ordered by time.
mase(actual, predicted, step_size = 1)
The ground truth numeric vector ordered in time, with most recent observation at the end of the vector.
The predicted numeric vector ordered in time, where each element
of the vector represents a prediction for the corresponding
A positive integer that specifies how many observations to look back
in time in order to compute the naive forecast. The default is
1 2 3 4
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