meanf {forecast}R Documentation

Mean Forecast

Description

Returns forecasts and prediction intervals for an iid model applied to x.

Usage

meanf(x, h=10, level=c(80,95), fan=FALSE)

Arguments

x a numeric vector or time series
h Number of periods for forecasting
level Confidence levels for prediction intervals.
fan If TRUE, level is set to seq(50,99,by=1). This is suitable for fan plots.

Details

The iid model is

Y[t] = mu + Z[t]

where Z[t] is a normal iid error. Forecasts are given by

Y[n+h] = mu

where mu is estimated by the sample mean.

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 meanf.
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. That is x minus fitted values.
fitted Fitted values (one-step forecasts)

Author(s)

Rob J Hyndman

See Also

rwf

Examples

nile.fcast <- meanf(Nile, h=10)
plot(nile.fcast)

[Package forecast version 1.23 Index]