R: Forecasting using BATS and TBATS models

forecast.bats {forecast}

R Documentation

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`.
`h`	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(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)

Author(s)

Slava Razbash and Rob J Hyndman

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

fit <- bats(USAccDeaths)
plot(forecast(fit))
## Not run: 
taylor.fit <- bats(taylor)
plot(forecast(taylor.fit))

## End(Not run)

[Package forecast version 3.24 Index]