R: Mean Forecast

meanf {forecast} | R Documentation

## Mean Forecast

### Description

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

### Usage

    meanf(y, h = 10, level = c(80, 95), fan = FALSE, lambda = NULL,
      biasadj = FALSE, x = y)

### Arguments

`y` | a numeric vector or time series of class `ts`
`h` | Number of periods for forecasting
`level` | Confidence levels for prediction intervals.
`fan` | If TRUE, level is set to seq(51,99,by=3). This is suitable for fan plots.
`lambda` | Box-Cox transformation parameter. Ignored if NULL. Otherwise, forecasts back-transformed via an inverse Box-Cox transformation.
`biasadj` | Use adjusted back-transformed mean for Box-Cox transformations. If TRUE, point forecasts and fitted values are mean forecast. Otherwise, these points can be considered the median of the forecast densities.
`x` | Deprecated. Included for backwards compatibility.

### 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 8.2 Index]