Given a fitted point process model on a network, this function returns a data frame containing all the variables needed to fit the model using the Berman-Turner device.
A fitted point process model on a linear network.
An object of class
Additional arguments passed to
model.frame is generic.
This function is a method for
for fitted point process models
on a linear network (objects of class
The first argument should be a fitted point process model;
it has to be named
formula for consistency with the generic
The result is a data frame containing all the variables used in
fitting the model. The data frame has one row for each quadrature point
used in fitting the model. The quadrature scheme can be extracted using
data.frame containing all the variables used in the
fitted model, plus additional variables specified in
It has an additional attribute
"terms" containing information
about the model formula. For details see
Baddeley, A. and Turner, R. (2000) Practical maximum pseudolikelihood for spatial point patterns. Australian and New Zealand Journal of Statistics 42, 283–322.
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