# meanf

From forecast v7.3
by Rob Hyndman

##### Mean Forecast

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

- Keywords
- ts

##### 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
- 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

`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:
is a list containing at least the following elements:##### See Also

##### Examples

```
plot(nile.fcast)
```

*Documentation reproduced from package forecast, version 7.3, License: GPL (>= 2)*

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