Description Usage Arguments Details Value Author(s) References See Also Examples

The function predicts and returns the next n consecutive values of a set of time series using automatically fitted ARIMA models. Based on multiple application of the `arimapred`

function.

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`TimeSeries` |
A vector, matrix, or data frame which contains a set of time series used for fitting ARIMA models. Each column corresponds to one time series. |

`TimeSeriesCont` |
A vector, matrix, or data frame containing continuation points for |

`n.ahead` |
A numeric vector (or a single numeric value) with the number of consecutive values which are to be predicted of each respective time series in |

`na.action` |
A function for treating missing values in |

`xreg` |
A list of vectors, matrices, data frames or times series of external regressors used for fitting the ARIMA models. The first component of the list contains external regressors for the first time series in |

`newxreg` |
A list of vectors, matrices, data frames or times series with new values of |

`se.fit` |
If |

`plot` |
A Boolean parameter which defines whether the function |

`range.p` |
A percentage which defines how much the range of the graphics' y-axis will be increased from the minimum limits imposed by data. |

`ylab` |
A title for the graphics' y-axis. Ignored if |

`xlab` |
A title for the graphics' x-axis. Ignored if |

`main` |
An overall title for the graphics. Ignored if |

See the `arimapred`

function.

A vector of time series of predictions, if the number of consecutive values predicted of each time series in `TimeSeries`

is the same, otherwise a list of time series of predictions.

If `se.fit`

is `TRUE`

, a vector of lists, each one with the components `pred`

, the predictions, and `se`

, the estimated standard errors. Both components are time series. See the `predict.Arima`

function in the stats package and the function `arimapred`

.

Rebecca Pontes Salles

See the `arimapred`

function.

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