Interval estimate accuracy measures

```
winkler_score(.dist, .actual, level = 95, na.rm = TRUE, ...)
pinball_loss(.dist, .actual, level = 95, na.rm = TRUE, ...)
scaled_pinball_loss(
.dist,
.actual,
.train,
level = 95,
na.rm = TRUE,
demean = FALSE,
.period,
d = .period == 1,
D = .period > 1,
...
)
interval_accuracy_measures
```

An object of class `list`

of length 3.

- .dist
The distribution of fitted values from the model, or forecasted values from the forecast.

- .actual
A vector of responses matching the fitted values (for forecast accuracy,

`new_data`

must be provided).- level
The level of the forecast interval.

- na.rm
Remove the missing values before calculating the accuracy measure

- ...
Additional arguments for each measure.

- .train
A vector of responses used to train the model (for forecast accuracy, the

`orig_data`

must be provided).- demean
Should the response be demeaned (MASE)

- .period
The seasonal period of the data (defaulting to 'smallest' seasonal period). from a model, or forecasted values from the forecast.

- d
Should the response model include a first difference?

- D
Should the response model include a seasonal difference?