Log Likelihood for Poisson Point Process Model

Description

Extracts the log likelihood of a Poisson point process model that has been fitted to multiple point patterns

Usage

 ## S3 method for class 'mppm'
logLik(object, ...)

Arguments

Details

The maximised value of the log likelihood for the fitted model (as approximated by quadrature using the Berman-Turner approximation) is extracted.

If object is not a Poisson process, the maximised log pseudolikelihood is returned, with a warning.

Value

A numerical value.

Author(s)

Adrian Baddeley adrian.baddeley@uwa.edu.au http://www.maths.uwa.edu.au/~adrian/ and Rolf Turner rolf@math.unb.ca http://www.math.unb.ca/~rolf

See Also

mppm

Examples

  data(waterstriders)
  fit <- mppm(Bugs ~ x, hyperframe(Bugs=waterstriders))
  logLik(fit)
  AIC(fit)