Thanks for the quick reply!

Yes, I meant continuous spatial autocorrelation. It is indeed surprising
that no package in R can do this, when this is such a big issue when it
comes to analysing ecological data.

Best regards,
RICARDO.





2013/5/23 Ben Bolker <bbolker@gmail.com>

> Ricardo Lima <rfaustinol@...> writes:
>
> >
> > Hi,
> >
> > Is there any R package that allows to create zero-inflated models with
> > spatial autocorrelation?
> >
> > Best regards,
> > RICARDO Lima
>
>   Not really, if you mean continuous (geostatistical-style) spatial
> autocorrelation. In principle, you can code it yourself in AD Model
> Builder, or WinBUGS, or Stan ...
>
> http://www.admb-project.org/examples/spatial-models
>
>   This (and even the simpler case of a 'proper' GLMM with spatial
> autocorrelation in a latent observation-level random variable) is
> a surprisingly missing component in the available R toolbox, as far
> as I know.  INLA _might_ do the simpler (non-ZI) case.  I have thought
> about some ways to implement this in the development version of lme4,
> but so far it's a gleam in my eye.
>
>   I would also check out
>
> http://www.highstat.com/book4.htm
>
> _______________________________________________
> R-sig-mixed-models@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>



-- 
Ricardo Faustino de Lima - http://sites.google.com/site/rfdelimasite/home

Post-Doc Researcher
Animal Diversity and Conservation -
http://cba.fc.ul.pt/members/ricardo_lima.php
Centre for Environmental Biology, Lisbon University Faculty of Sciences
Office 2.5.15b, Campo Grande 1749-016 Lisboa, Portugal.

	[[alternative HTML version deleted]]

