Given a fitted point process model, this command sets appropriate default values of the parameters controlling the iterative behaviour of the Metropolis-Hastings algorithm.
default.rmhcontrol(model, w=NULL)A fitted point process model (object of class "ppm")
Optional. Window for the resulting simulated patterns.
An object of class "rmhcontrol". See rmhcontrol.
This function sets the values of
the parameters controlling the iterative behaviour
of the Metropolis-Hastings
simulation algorithm. It uses default values
that would be appropriate for the fitted point
process model model.
The expansion parameter expand is set to
default.expand(model, w).
All other parameters revert to their defaults given in
rmhcontrol.default.
See rmhcontrol for the full list of control parameters.
To override default parameters, use update.rmhcontrol.
# NOT RUN {
fit <- ppm(cells, ~1, Strauss(0.1))
default.rmhcontrol(fit)
default.rmhcontrol(fit, w=square(2))
# }
Run the code above in your browser using DataLab