		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)	   
		}
