# forecast.HoltWinters

0th

Percentile

##### Forecasting using Holt-Winters objects

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

Keywords
ts
##### Usage
# S3 method for HoltWinters
forecast(
object,
h = ifelse(frequency(object$x) > 1, 2 * frequency(object$x), 10),
level = c(80, 95),
fan = FALSE,
lambda = NULL,
...
)
##### Arguments
object

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

h

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. If lambda="auto", then a transformation is automatically selected using BoxCox.lambda. The transformation is ignored if NULL. Otherwise, data transformed before model is estimated.

Use adjusted back-transformed mean for Box-Cox transformations. If transformed data is used to produce forecasts and fitted values, a regular back transformation will result in median forecasts. If biasadj is TRUE, an adjustment will be made to produce mean forecasts and fitted values.

...

Other arguments.

##### 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.

##### Value

An object of class "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:

model

A list containing information about the fitted model

method

The name of the forecasting method as a character string

mean

Point forecasts as a time series

lower

Lower limits for prediction intervals

upper

Upper limits for prediction intervals

level

The confidence values associated with the prediction intervals

x

The original time series (either object itself or the time series used to create the model stored as object).

residuals

Residuals from the fitted model.

fitted

Fitted values (one-step forecasts)

##### Aliases
• forecast.HoltWinters
##### Examples
# NOT RUN {
fit <- HoltWinters(WWWusage,gamma=FALSE)
plot(forecast(fit))

# }
Documentation reproduced from package forecast, version 8.12, License: GPL-3

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