Prediction Function for Fitted Holt-Winters Models

Description

Computes predictions and prediction intervals for models fitted by the Holt-Winters method.

Usage

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## S3 method for class 'HoltWinters'
predict(object, n.ahead = 1, prediction.interval = FALSE,
       level = 0.95, ...)

Arguments

object

An object of class HoltWinters.

n.ahead

Number of future periods to predict.

prediction.interval

logical. If TRUE, the lower and upper bounds of the corresponding prediction intervals are computed.

level

Confidence level for the prediction interval.

...

arguments passed to or from other methods.

Value

A time series of the predicted values. If prediction intervals are requested, a multiple time series is returned with columns fit, lwr and upr for the predicted values and the lower and upper bounds respectively.

Author(s)

David Meyer David.Meyer@wu.ac.at

References

C. C. Holt (1957) Forecasting trends and seasonals by exponentially weighted moving averages, ONR Research Memorandum, Carnegie Institute of Technology 52.

P. R. Winters (1960) Forecasting sales by exponentially weighted moving averages, Management Science 6, 324–342.

See Also

HoltWinters

Examples

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require(graphics)

m <- HoltWinters(co2)
p <- predict(m, 50, prediction.interval = TRUE)
plot(m, p)

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