internal | R Documentation |

`internal`

computes the values of internal covariates at the midpoints
of the bins of the network. Internal covariates can either be supplied via
the point pattern or they are a function of the network. Currently, x- and y-
coordinates are supported for the latter.

internal(vars, X, bins, scale)

`vars` |
The name of the covariates which should go into the model as linear internal covariates. |

`X` |
Point pattern on a geometric network (object of class |

`bins` |
A list containing the bins of the geometric network. |

`scale` |
A named list which specifies the rescaling of network related covariates. Currently, only x- and y-coordinates can be scaled. |

A data frame with the number of rows equal to the number of bins of the
geometric network (`sum(bins$N)`

) and the number of columns equal to
the length of `vars`

.

Marc Schneble marc.schneble@stat.uni-muenchen.de

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