forecast (version 3.20)

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=10, level=c(80,95), fan=FALSE, ...)
## S3 method for class 'tbats':
forecast(object, h=10, level=c(80,95), fan=FALSE, ...)

Arguments

object

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

h

Number of periods for forecasting

level

Confidence level for prediction intervals.

fan

If TRUE, level is set to seq(50,99,by=1). 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:

• model
  A copy of the bats object
• 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. That is x minus fitted values.
• fitted
  Fitted values (one-step forecasts)

References

De Livera, A.M., Hyndman, R.J., & Snyder, R. D. (2012), Forecasting time series with complex seasonal patterns using exponential smoothing, Journal of the American Statistical Association, to appear.

See Also

bats, tbats,forecast.ets.

Examples

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