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
`actual`

and `numeric`

are numeric vectors ordered by time.

1 | ```
mase(actual, predicted, step_size = 1)
``` |

`actual` |
The ground truth numeric vector ordered in time, with most recent observation at the end of the vector. |

`predicted` |
The predicted numeric vector ordered in time, where each element
of the vector represents a prediction for the corresponding
element of |

`step_size` |
A positive integer that specifies how many observations to look back
in time in order to compute the naive forecast. The default is
However, if |

1 2 3 4 |

```
[1] 0.2777778
```

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