fts | R Documentation |

This function is used to create functional time series (`fts`

) objects from lists of discretely sampled data, basis specifications, and grid elements which provide the domain that each variable is observed over. Each variable is assumed to be observed over a regular and equidistant grid. In addition, each variable in the fts is assumed to be observed over a one or two-dimensional domain.

fts(X, B, grid, time = NULL)

`X` |
A list of length p where p is a positive integer specifying the number of variables observed in the fts. Each entry in the list should be a matrix or an array. |

`B` |
A list of length p. Each entry in the list should be either a matrix specifying the basis for each variable or each list entry should be a list specifying the number of basis elements and desired basis type to be used in the smoothing process. |

`grid` |
A list of length p. Each entry in the list should either be a numeric or a list of numeric elements depending on the dimension of the domain the variable is observed over. |

`time` |
A character vector where each entry specifies the time an observation is made. |

Refer to `fssa`

for examples on how to run this function.

`fssa`

Rfssa documentation built on Sept. 9, 2022, 1:07 a.m.

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