meanf

0th

Percentile

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

rwf

Aliases
  • meanf
Examples
plot(nile.fcast)
Documentation reproduced from package forecast, version 7.2, License: GPL (>= 2)

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