model
{
for( i in 1 : N ) {
Y[i] ~ dnorm(mu[i], tau)
mu[i] <- alpha - beta * pow(gamma,x[i])
}
alpha ~ dnorm(0.0, 1.0E-6)
beta ~ dnorm(0.0, 1.0E-6)
gamma ~ dunif(0.5, 1.0)
tau ~ dgamma(0.001, 0.001)
sigma <- 1 / sqrt(tau)
U3 <- logit(gamma)
}