`sim_arimabased.Rd`

simulate multiple time series for a given series based on ARIMA models

sim_arimabased( y, Nsim, Combine = TRUE, M = TRUE, Future = FALSE, Length = NA, extralength = NA )

y | a time series or M-competition data time series (Mcomp) |
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Nsim | number of time series to simulate |

Combine | if TRUE, training and test data in the M-competition data are combined and generate a time series corresponds to the full length of the series. Otherwise, it generate a time series based on the training period of the series. |

M | if TRUE, y is considered to be a Mcomp data object |

Future | if future=TRUE, the simulated observations are conditional on the historical observations. In other words, they are possible future sample paths of the time series. But if future=FALSE, the historical data are ignored, and the simulations are possible realizations of the time series model that are not connected to the original data. |

Length | length of the simulated time series. If future = FALSE, the Length agument should be NA. |

extralength | extra length need to be added for simulated time series |

A list of time series.