thetaf(x, h=10, level=c(80,95), fan=FALSE)
forecast
".The function summary
is used to obtain and print a summary of the
results, while the function plot
produces a plot of the forecasts and prediction intervals.
The generic accessor functions fitted.values
and residuals
extract useful features of
the value returned by rwf
.
An object of class "forecast"
is a list containing at least the following elements:
object
itself or the time series used to create the model stored as object
).Hyndman, R.J., and Billah, B. (2003) Unmasking the Theta method. International J. Forecasting, 19, 287-290.
arima
, meanf
, rwf
, ses
nile.fcast <- thetaf(Nile)
plot(nile.fcast)
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