1.84375 3 1.33
1 0 2 3 1.66
1 0 2.25 3 0.73
0 0 2.5 3 1.6
0 1 3 3 1.99
1 0 3.25 3 1.09
1 0 4.25 3 1.54
1 0 5 3 1.6
1 0 5.5 3 1.73
END
On Fri, Feb 24, 2012 at 9:28 AM, Adan Jordan-Garza <
ajordangarza2...@my.fit.edu> wrote:
> Ok this makes a lot of sense, thank you very much Il
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
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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