The function extracts 1 to h steps ahead forecast errors from the model.
rmultistep(object, h = 10, ...)Model estimated using one of the forecasting functions.
The forecasting horizon to use.
Currently nothing is accepted via ellipsis.
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.
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.
# NOT RUN {
x <- rnorm(100,0,1)
ourModel <- adam(x)
rmultistep(ourModel, h=13)
# }
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