forecast.HoltWinters: Forecasting using Holt-Winters objects

Description

Returns forecasts and other information for univariate Holt-Winters time series models.

Usage

"forecast"(object, h=ifelse(frequency(object$x)>1,2*frequency(object$x),10), level=c(80,95),fan=FALSE,lambda=NULL, biasadj=FALSE,...)

Arguments

object

An object of class "HoltWinters". Usually the result of a call to HoltWinters.

Number of periods for forecasting

level

Confidence level for prediction intervals.

fan

If TRUE, level is set to seq(51,99,by=3). This is suitable for fan plots.

lambda

Box-Cox transformation parameter. Ignored if NULL. Otherwise, forecasts back-transformed via an inverse Box-Cox transformation.

biasadj

Use adjusted back-transformed mean for Box-Cox transformations. If TRUE, point forecasts and fitted values are mean forecast. Otherwise, these points can be considered the median of the forecast densities.

...

Other arguments.

Value

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.HoltWinters.An object of class "forecast" is a list containing at least the following elements: is a list containing at least the following elements:

Details

This function calls predict.HoltWinters and constructs an object of class "forecast" from the results.

It is included for completeness, but the ets is recommended for use instead of HoltWinters.

Examples

Run this code

plot(forecast(fit))