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

This function creates a changing dyadic covariate object from an array.

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`val` |
Array of covariate values, third dimension is the time. Alternatively, a list of sparse matrices of type "dgTMatrix". |

`centered` |
Boolean: if TRUE, then the overall mean value is subtracted. |

`nodeSets` |
Names (character string) of the associated node sets. If the entire data set contains more than one node set, then the node sets must be specified in all data objects. |

`sparse` |
Boolean: whether sparse matrices or not. |

`type` |
oneMode or bipartite: whether the matrix refers to a one-mode or a bipartite (two-mode) network. |

When part of a Siena data object, the covariate is assumed to be associated with the node sets named NodeSets of the Siena data object. The names of the associated node sets will only be checked when the Siena data object is created.

Returns the covariate as an object of class "varDyadCovar", in which
form it can be used as an argument to `SienaDataCreate`

.

Ruth Ripley

See http://www.stats.ox.ac.uk/~snijders/siena/

`sienaDataCreate`

, `coDyadCovar`

,
`coCovar`

, `varCovar`

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