I would like to fit a spatial generalized linear mixed model, for example, to model spatial count responses by using the Laplace approximation in available statistical software.

I am particularly interested in implementations in R.

  • $\begingroup$ Got some references? $\endgroup$
    – Spacedman
    Commented Mar 3, 2012 at 21:01
  • $\begingroup$ I mean anyone can present an example to do Laplace approximation in SGLMMs? $\endgroup$ Commented Mar 3, 2012 at 21:39
  • $\begingroup$ The learning curve will be steep, but you can use AD Model Builder for this -- example here: admb-project.org/examples/spatial-models/… $\endgroup$
    – Ben Bolker
    Commented Mar 4, 2012 at 0:30
  • $\begingroup$ @BenBolker: Has this example an R version so that I can use glmmADMB package? $\endgroup$ Commented Mar 6, 2012 at 23:31
  • $\begingroup$ No, you can't use glmmADMB for this. Sorry. (I'm tempted to ask you to transfer your question to the r-sig-mixed-models list so the answers aren't in two places ...) If you want to use glmmPQL in MASS you can, but it will be quasi-likelihood rather than the Laplace approximation. $\endgroup$
    – Ben Bolker
    Commented Mar 7, 2012 at 0:11

1 Answer 1


Nested Laplace approximations can be used to fit various spatial models. Papers, tutorials, and lots of examples can be found here


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