model
{
for( i in 1 : N ) {
for( j in 1 : T ) {
Y[i , j] ~ dnorm(mu[i , j],tau.c)
mu[i , j] <- alpha[i] + beta[i] * (x[j] - xbar)
}
alpha[i] ~ dnorm(alpha.c,alpha.tau)
beta[i] ~ dnorm(beta.c,beta.tau)
}
tau.c ~ dgamma(0.001,0.001)
sigma <- 1 / sqrt(tau.c)
alpha.c ~ dnorm(0.0,1.0E-6)
alpha.tau ~ dgamma(0.001,0.001)
beta.c ~ dnorm(0.0,1.0E-6)
beta.tau ~ dgamma(0.001,0.001)
alpha0 <- alpha.c - xbar * beta.c
}