model

{

for( i in 1:N) {

y[i] ~ dgamma(alpha,alpha/mu[i])

log(mu[i]) <- beta[1]+beta[2]*x1[i]+beta[3]*x2[i]+beta[4]*x3[i]+beta[5]*x4[i]+

              beta[6]*x1[i]*x4[i]+beta[7]*x2[i]*x4[i]+beta[8]*x3[i]*x4[i]+delta[i]

delta[i]~dnorm(0,tau[i])

tau[i] <- exp(zeta[i])

log(zeta[i])<- gama[1]+gama[2]*x4[i]

}

for(i in 1:8){

beta[i]~dnorm(0,0.01)}

for(k in 1:2){

gama[k]~dnorm(0,0.01)}

}

list(y=c(7.3456,6.7384,7.2117,6.9732,7.2089,6.9716,6.7461,6.8263,6.823,6.7461,6.823,7.2089,6.9716,6.9732,6.7384,6.8263,7.2117),alpha <- runif(1,5,10)

x1 = c(0,-1,1,1,1,1,-1,-1,-1,-1,-1,1,1,1,-1,-1,1),

x2 = c(0,1,-1,1,-1,1,1,-1,-1,1,-1,-1,1,1,1,-1,-1),

x3 = c(0,1,-1,-1,1,1,-1,-1,1,-1,1,1,1,-1,1,-1,-1),

x4 = c(0,-1,1,-1,-1,-1,1,1,1,-1,-1,1,1,1,1,-1,-1),

N=17)

list("beta"=rnorm(8,0,0.01),"delta"=rnorm(N),"gama"=rnorm(2,0,0.01))

现在出现：“expected right parenthesis ” 如何解决了，大神们，list赋初值觉的也有问题.

有人会winbugs做贝叶斯吗，本人做msvar想通过计算最大边际似然来确立最优解，愿意高价有偿求教
q号：2587713066