forecast.bats: Forecasting using BATS and TBATS models

Description

Forecasts h steps ahead with a BATS model. Prediction intervals are also produced.

Usage

## S3 method for class 'bats':
forecast(object, h, level=c(80,95), fan=FALSE, ...)
## S3 method for class 'tbats':
forecast(object, h, level=c(80,95), fan=FALSE, ...)

Arguments

object

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

Number of periods for forecasting. Default value is twice the largest seasonal period (for seasonal data) or ten (for non-seasonal data).

level

Confidence level for prediction intervals.

fan

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

...

Other arguments, currently ignored.

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.bats.
An object of class "forecast" is a list containing at least the following elements:
modelA copy of the bats object
methodThe name of the forecasting method as a character string
meanPoint forecasts as a time series
lowerLower limits for prediction intervals
upperUpper limits for prediction intervals
levelThe confidence values associated with the prediction intervals
xThe original time series (either object itself or the time series used to create the model stored as object).
residualsResiduals from the fitted model.
fittedFitted values (one-step forecasts)

References

De Livera, A.M., Hyndman, R.J., & Snyder, R. D. (2011), Forecasting time series with complex seasonal patterns using exponential smoothing, Journal of the American Statistical Association, 106(496), 1513-1527.

Examples

Run this code

fit <- bats(USAccDeaths)
plot(forecast(fit))

taylor.fit <- bats(taylor)
plot(forecast(taylor.fit))

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