Interval estimate accuracy measures
Usage
winkler_score(lower, upper, actual, level = 95, na.rm = TRUE, ...)
MSIS(
lower,
upper,
actual,
train,
level = 95,
period,
d = period == 1,
D = period > 1,
na.rm = TRUE,
...
)
interval_measures
Arguments
- lower
A vector of lower bound of interval forecasts from either the validation or test data.
- upper
A vector of upper bound of interval forecasts from either the validation or test data.
- actual
A vector of responses matching the forecasts.
- level
The level of the forecast interval.
- na.rm
If
TRUE
, remove the missing values before calculating the accuracy measure.- ...
Additional arguments for each measure.
- train
A vector of responses used to train the model.
- period
The seasonal period of the data.
- d
Should the response model include a first difference?
- D
Should the response model include a seasonal difference?