The function extracts 1 to h steps ahead forecast errors from the model.
rmultistep(object, h =10,...)
Arguments
object: Model estimated using one of the forecasting functions.
h: The forecasting horizon to use.
...: Currently nothing is accepted via ellipsis.
Returns
The matrix with observations in rows and h steps ahead values in columns. So, the first row corresponds to the forecast produced from the 0th observation from 1 to h steps ahead.
Details
The errors correspond to the error term epsilon_t in the ETS models. Don't forget that different models make different assumptions about epsilon_t and / or 1+epsilon_t.
Examples
x <- rnorm(100,0,1)ourModel <- adam(x)rmultistep(ourModel, h=13)