Log Likelihood for Poisson Point Process Model
Extracts the log likelihood of a Poisson point process model that has been fitted to multiple point patterns
## S3 method for class 'mppm': logLik(object, ...)
- Fitted point process model (fitted to multiple point
patterns). An object of class
The maximised value of the log likelihood for the fitted model (as approximated by quadrature using the Berman-Turner approximation) is extracted.
object is not a Poisson process, the maximised log
pseudolikelihood is returned, with a warning.
- A numerical value.
data(waterstriders) fit <- mppm(Bugs ~ x, hyperframe(Bugs=waterstriders)) logLik(fit) AIC(fit)