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])
		}
	}