qwdap.var | R Documentation |

Vector autoregressive model. This is a regression method used to establish the temporal relationship between the original time series and the modes generated by quantum walks. The core algorithm comes from MTS(ver. 1.1.1).

qwdap.var(in_data, data_range, plotting)

`in_data` |
a 'QWMS' object, which includes the target series and the selected modes which can be obtained from modes selection. |

`data_range` |
the range of the train samples. |

`plotting` |
whether to plot. |

a 'QWMODEL' object which includes the information of regression analysis.

data("traffic.n1") res.var <- qwdap.var(traffic.n1,c(1,500))

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