Date: Fri, 24 May 2013 09:31:25 +0100
From: Ricardo Lima <rfaustinol at gmail.com>
To: Ben Bolker <bbolker at gmail.com>
Cc: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] zero-inflated models with spatial
autocorrelation
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 at gmail.com>
Ricardo Lima <rfaustinol at ...> 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