At the moment a nested exponential smooth effect is initialised at the first observation. It is not possible to provide an initialisation externally. The big issue is what to do in predict when newdata = TRUE. In fact, if we do (say)
Then mu1[-(1:10)] != mu2 because the inner exponential smooths are initialised respectively at x[1] and x[11].
This can be a real problem when producing forecasts!
At the moment a nested exponential smooth effect is initialised at the first observation. It is not possible to provide an initialisation externally. The big issue is what to do in
predict
when newdata = TRUE. In fact, if we do (say)Then
mu1[-(1:10)] != mu2
because the inner exponential smooths are initialised respectively at x[1] and x[11]. This can be a real problem when producing forecasts!