The forecast function predicts future values of a "garma_model" object, and is exactly the same as the "predict" function with slightly different parameter values.
## S3 method for class 'garma_model'forecast(object, h =1, newdata =NULL,...)
Arguments
object: (garma_model) The garma_model from which to forecast the values.
h: (int) The number of time periods to predict ahead. Default: 1
newdata: (real vector or matrix) If the original model was fitted with the 'xreg=' option then this will provide the xreg values for predictions. If this is a vector then its length should be 'h'; if it is a matrix then it should have 'h' rows.
It should have columns with the same names as the original xreg matrix.
...: Other parameters passed to the forecast function. For "garma_model" objects, these are ignored.
Returns
a "ts" object containing the requested forecasts.
Examples
library(forecast)data(AirPassengers)ap <- as.numeric(diff(AirPassengers,12))mdl <- garma(ap, order = c(9,1,0), k =0, method ="CSS", include.mean =FALSE)forecast(mdl, h =12)