Description Usage Arguments Value Examples

For new values of t provided whitin the scope of the model, the corresponding Maximum LIkelihood estimated value of the process is returned

1 2 |

`object` |
an object of class |

`t` |
a numeric vector; values must lay between 0 and N, where N corresponds to the lenght of the data vector on which the model was estimated |

`se.fit` |
boolean value; if TRUE standard errors of the estimates are returned along the point estimates |

`...` |
further arguments that will not be processed |

Object returned depends on the parameter `se.fit`

. If set to FALSE, a
numerical vector is returned, elsewise a data.frame is returned with a column of estimates
and a column with their SEs

1 2 3 | ```
M= c(0, 1, -1, 2, 4)
mod= interv_fit(M, t_0= 0, t_end= 1)
predict(mod, c(0, .25, .5, .75, 1))
``` |

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