[R-sig-ME] Fit SGLMM by lme4 package

[John Maindonald]

The first place to look is surely under "Point pattern analysis"
on the Spatial task view (http://cran.csiro.au/web/views/)
Note especially the spatstat package.

But I am puzzled also.  A model that takes account os spatial
correlation might I suppose be described as some kind of
'spatial generalized linear mixed model'
Do you have something more in mind?  And why the Laplace
approximation in particular?

John Maindonald             email: john.maindonald at anu.edu.au
phone : +61 2 (6125)3473    fax  : +61 2(6125)5549
Centre for Mathematics & Its Applications, Room 1194,
John Dedman Mathematical Sciences Building (Building 27)
Australian National University, Canberra ACT 0200.
http://www.maths.anu.edu.au/~johnm

On 04/03/2012, at 8:28 AM, Douglas Bates wrote:

> I am taking the opportunity to cc: this reply to the
> R-SIG-Mixed-Models mailing list.  Members of that list are often more
> knowledgeable and quicker to respond than am I.
> 
> On Sat, Mar 3, 2012 at 1:44 PM,  <hbaghishani at modares.ac.ir> wrote:
>> Dear Professor Bates,
> 
>> I would like to fit an spatial generalized linear mixed model, for example
>> to model spatial count responses, by Laplace approximation and by using lme4
>> R package. I'm very enthusiastic if it is possible to implement this fitting
>> by glmer in lme4 package?
> 
> I'm not exactly sure what a spatial generalized linear mixed model is.
> Could you or someone else on the list elaborate, please?
> 
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