My apologies to R-list members, this discussion diverged and is no
longer R related. Probably more fitting in one of the BUGS forums, but
I keep cc ing for any future interested reader that stumbled upon this
post in r-help.
Now to the point. Thank you so much for the reference, I was not aware
of
Ohh! about the reference code for the categorical predictor,
from the McCarthy book, Bayesian Methods for Ecology
(ISBN978-0-521-85057-5) the following ANCOVA model has a Refuge as a
categorical predictor with 3 levels coded as "1", "2" and "3".
This is the cited model:
model
{
a ~ dnorm(1.01, 24
Ok this makes a lot of sense, thank you very much Ilai!
Cheers
Guillermo
On Fri, Feb 24, 2012 at 12:16 AM, ilai wrote:
> On Thu, Feb 23, 2012 at 8:32 PM, Adan Jordan-Garza
> wrote:
> > Hello Ilai,
> > thank you very much for your response,
> > can I bother you a little further?
> > What do you
Adan,
How many levels does Depth have? my wild guess: 3 and your bugs model
is not identifiable.
Second, I think you may have a critical error in the way you formatted
the data for the bugs model. From your code it looks like you are just
using the factor Depth and not a design matrix of dummy var
Hi,
I am running a model with count data and one categorical predictor (simple
model for me to understand it fully), I did in R a glm like this:
glm(Recruitment~Depth, family=poisson). I get the coefficientes and
confidence intervals and all is ok. But then I want to do the same model
with Bayesian
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