model
      {
         for( i in 1 : N ) {
            b[i] ~ dnorm(mu,tau)
            r[i] ~ dbin(p[i],n[i])
            logit(p[i]) <- b[i]
            }
         pop.mean <- exp(mu) / (1 + exp(mu))
         mu ~ dnorm(0.0,1.0E-6)
         sigma <- 1 / sqrt(tau)
         tau ~ dgamma(0.001,0.001)   
      }