## S3 method for class 'ets':
forecast(object, h=ifelse(object$m>1, 2*object$m, 10),
level=c(80,95), fan=FALSE, simulate=FALSE, bootstrap=FALSE,
npaths=5000, PI=TRUE, lambda=object$lambda, ...)
ets
". Usually the result of a call to ets
.simulate=TRUE
, then simulation uses resampled errors rather than normally distributed
errors.PI
is FALSE, then level
, fan
, simulate
, bootstrap
and npaths
are all ignored.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 forecast.ets
.
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
).ets
, ses
, holt
, hw
.fit <- ets(USAccDeaths)
plot(forecast(fit,h=48))
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