Built-in models_Poisson regression

!Model
\begin{eqnarray*}
{{%%
\[y_{i}  \sim  Poisson(\lambda_{i})\]
\[\log\lambda_{i}  = \beta_{0}+\beta_{1}x_{1i}+\ldots+\beta_{q}x_{qi}\]
%%}}

!Code

{{
model{
for (i in 1:N){
log(lambda[i])<-beta0+beta1*(x1[i]-mean(x1[]))+beta2*(x2[i]-mean(x2[]))
y[i]~dpois(lambda[i])
}
beta0~dnorm(0,1.0E-6)
beta1~dnorm(0,1.0E-6)
beta2~dnorm(0,1.0E-6)
}
}}