model {
      for (i in 1:K) {
         for (j in 1:n) {
            Y[i, j] ~ dnorm(eta[i, j], tauC)
            eta[i, j] <- phi[i, 1] / (1 + phi[i, 2] * exp(phi[i, 3] * x[j]))
         }
         phi[i, 1] <- exp(theta[i, 1])
         phi[i, 2] <- exp(theta[i, 2]) - 1
         phi[i, 3] <- -exp(theta[i, 3])
         for (k in 1:3) {
            theta[i, k] ~ dnorm(mu[k], tau[k])
         }
      }
      tauC ~ dgamma(1.0E-3, 1.0E-3)
      sigmaC <- 1 / sqrt(tauC)
      varC <- 1 / tauC
      for (k in 1:3) {
         mu[k] ~ dnorm(0, 1.0E-4)
         tau[k] ~ dgamma(1.0E-3, 1.0E-3)
         sigma[k] <- 1 / sqrt(tau[k])
      }
   }