splinef(y, h=10, level=c(80,95), fan=FALSE, lambda=NULL, biasadj=FALSE, method=c("gcv","mle"), x=y)
method="gcv"
, the generalized cross-validation method from smooth.spline
is used. If method="mle"
, the maximum likelihood method from Hyndman et al (2002) is used.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 splinef
.An object of class "forecast"
containing the following elements:
containing the following elements:smooth.spline
,
arima
, holt
.plot(fcast)
summary(fcast)
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