Extract Quadrature Scheme Used to Fit a Point Process Model
Given a fitted point process model, this function extracts the quadrature scheme used to fit the model.
- fitted point process model (an object of class
An object of class
"ppm" represents a point process model
that has been fitted to data. It is typically produced by
the maximum pseudolikelihood fitting algorithm
mpl algorithm approximates the pseudolikelihood
integral by a sum over a finite set of quadrature points,
which is constructed by augmenting
the original data point pattern by a set of ``dummy'' points.
The fitted model object returned by
contains complete information about this quadrature scheme.
ppm.object for further
This function extracts the quadrature scheme.
A typical use of this function would be to inspect the quadrature scheme
(points and weights) to gauge the accuracy of the approximation to the
- A quadrature scheme (object of class
require(spatstat) data(cells) fit <- mpl(cells, ~1, Strauss(r=0.1), rbord=0.1) Q <- quad.ppm(fit) plot(Q) Q$data$n Q$dummy$n