Dear Bug-users,
I'm a new user (Winbugs 1.3) and am trying to fit a spatial random effects
model, where the random effects have some spatially-dependent covariance.
I've read through the examples and some related material and have come
across:
1) the conditional autoregressive models,
2) how to specify covariances among random effects within a sampling unit.
Is there a way in BUGS to specify a multivariate distribution for a random
effect, such that there are covariances in the random effects among
sampling units?
The context is a series of turtle abundances at different beaches. I'd
like to fit the simple model
log(abundance) = B_0 + B_1*year
where B_1 is a non-independent random effect. The premise is that the
slope of nearby beaches will be more similar (and hence not independent)
than distant beaches.
Any assistance would be appreciated!
Thanks in advance,
Dan Kehler
____________________________________
Daniel Kehler
Dept. of Biology
Dalhousie University, B3H 4J1
Halifax, Nova Scotia, Canada
Office: LSC 805
email: [log in to unmask]
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