## S3 method for class 'lppm':
simulate(object, nsim=1, ...,
new.coef=NULL,
progress=(nsim > 1),
drop=FALSE)
"lppm"
.coef(object)
.predict.lppm
to determine the spatial resolution of the image of the fitted intensity
used in the simulation.nsim=1
and drop=TRUE
, the
result will be a point pattern, rather than a list
containing a point pattern.nsim
containing simulated point patterns
(objects of class "lpp"
) on the same linear network as the
original data used to fit the model.
The result also belongs to the class "solist"
, so that it can be
plotted, and the class "timed"
, so that the total computation
time is recorded.simulate
for the class "lppm"
of fitted
point process models on a linear network. Only Poisson process models are supported so far.
Simulations are performed by rpoislpp
.
lppm
,
rpoislpp
,
simulate
fit <- lppm(unmark(chicago) ~ y)
simulate(fit)[[1]]
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