Built-in models:Poisson regression

Model

The Poisson regression can be written as

\[y_{i} \sim Poisson(\lambda_{i})\] \[\log\lambda_{i} = \beta_{0}+\beta_{1}x_{1i}+\ldots+\beta_{q}x_{qi}\]

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)
}