meanf: 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

a numeric vector or time series

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.

Deprecated. Included for backwards compatibility.

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:

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.

Examples

Run this code

plot(nile.fcast)