tsmoments.tsissm.estimate | R Documentation |
Prediction function for class “tsissm.estimate”.
## S3 method for class 'tsissm.estimate' tsmoments( object, h = 1, newxreg = NULL, init_states = NULL, transform = FALSE, ... )
object |
an object of class “tsissm.estimate”. |
h |
the forecast horizon. |
newxreg |
a matrix of external regressors in the forecast horizon. |
init_states |
optional vector of states to initialize the forecast. If NULL, will use the last available state from the estimated model. |
transform |
whether to backtransform the mean forecast. For the Box-Cox and logit transformations this uses a Taylor Series expansion to adjust for the bias. |
... |
not currently used. |
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