I suggest you to look at INLA <http://www.r-inla.org/> package. I used it
for my project that have a data similar to yours. The package uses a
Bayesian approach and the web site is full of examples, tutorials and
references.

Donal

2011/9/11 Emilio A. Laca <ealaca@ucdavis.edu>

> Data consists of continuous response y and covariates X measured on a grid
> (ca. 1000 cells) eight times (4 seasons x 2 years). First cut suggested is
> ZI continuous response with random effects for cells*times and spatially
> correlated residuals. Fixed effects include covariates and season. Assume no
> temporal correlation of residuals.
>
> I looked at cozigam and glmm.admb, but they do not seem to handle all
> conditions. I would appreciate comments and suggestions.
>
> Than you.
>
> Emilio A. Laca
> Plant Sciences, UC Davis
> (530) 754-4083
> (530) 220-5315
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> R-sig-mixed-models@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>
>

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