splinef(x, h=10, level=c(80,95), fan=FALSE, lambda=NULL,
method=c("gcv","mle"))
method="gcv"
, the generalized cross-validation method from smooth.spline
is used. If method="mle"
, the maximum likelihooforecast
".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 splinef
.
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
).smooth.spline
,
arima
, holt
.fcast <- splinef(uspop,h=5)
plot(fcast)
summary(fcast)
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