Internal function to forecast exogenous variables

Usage

forecast_exogenous_values(
  model,
  exog_vars,
  exog_predictions,
  exog_fill_method,
  ar.fill.max,
  n.ahead,
  quiet
)

model: A model object of class 'osem'.
exog_vars: The set of exogenous variables to be forecasted.
exog_predictions: A data.frame or tibble with values for the exogenous values. The number of rows of this data must be equal to n.ahead.
exog_fill_method: Character, either 'AR', 'auto', or 'last'. When no exogenous values have been provided, these must be inferred. When option 'exog_fill_method = "AR"' then an autoregressive model is used to further forecast the exogenous values. With 'last', simply the last available value is used. 'auto' is an auto.arima model.
ar.fill.max: Integer. When no exogenous values have been provided, these must be inferred. If option 'exog_fill_method = "AR"' then an autoregressive model is used to further forecast the exogenous values. This options determines the number of AR terms that should be used. Default is 4.
n.ahead: Periods to forecast ahead
quiet: Logical. Should messages about the forecast procedure be suppressed?

A dataset containing the set of forecasted exogenous values.