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)
}