model
{
for( i in 1 : N ) {
y[i] ~ dnorm(mu[i], tau)
mu[i] <- lambda[T[i]]
T[i] ~ dcat(P[])
}
P[1:2] ~ ddirch(alpha[])
theta ~ dnorm(0.0, 1.0E-6)I(0.0, )
lambda[2] <- lambda[1] + theta
lambda[1] ~ dnorm(0.0, 1.0E-6)
tau ~ dgamma(0.001, 0.001) sigma <- 1 / sqrt(tau)
}