data modeling - WinBUGS error: vector valued relation z must involve consecutive elements of variable -

i trying model multivariate probit model binary data. have been trying winbugs in return gives me error. ideas or suggestion warmly welcomed.

model{ (i in 1:ns){ ## loop on studies

for (k in 1:2){   ### loop on arm   (j in 1:2){  ###  loop on outcomes      r[i,k,j] ~ dbin(p[i,k,j],n[i,k,j]);             ## likelihood function       p[i,k,j] <-  phi(z[i,k,j])     z[i,k,1:2] ~  dmnorm(theta[i,1:2],with[i,,])i(-5, 5)    #latent variable (z<0) or probit link            theta[i,1] <- alpha[i,k,1] + beta[i,k,1]    theta[i,2] <- alpha[i,k,2] + beta[i,k,2]   }   ###close  loop on outcomes     }   ###close  loop on arms  alpha[i,2,1] <- 0    alpha[i,2,2] <- 0  alpha[i,1,1:2] ~ dnorm(0,.0001) beta[i,2,1:2] ~  dmnorm(d[1:2],prec[,])     beta[i,1,1] <- 0    beta[i,1,2] <- 0    ## priors on within study cov matrix with[i,1:2,1:2] <- inverse(cov.mat[i,1:2,1:2])        #define elements of within-study covariance matrix   cov.mat[i,1,1] <-  1   cov.mat[i,2,2] <-  1   ### prior ipd data  ######   cov.mat[i,1,2] ~   dbeta(a[i],b[i])   cov.mat[i,2,1] <-  cov.mat[i,1,2]    a[i]<-31.97   b[i]<- 4.52                     }#### close loop on studies         (i in 1:2) {   d[i]  ~ dnorm(0.0000e+00, 0.0001)    # overall treatment effects } ## priors on between study cov matrix prec[1:2,1:2]<-inverse(tau[1:2,1:2]) pi<-3.14/2 a1~dunif(0, pi) rho.tau<-cos(a1) sd[1]~dunif(0,2) sd[2]~dunif(0,2) tau[1,1]<-pow(sd[1],2) tau[2,2]<-pow(sd[2],2) tau[2,1]<-tau[1,2] tau[1,2]<-sd[1]*sd[2]*rho.tau }        #end model 

these data:

list(ns=2) t[,1,1] t[,1,2] t[,2,1] t[,2,2]  r[,1,1]  n[,1,1] r[,2,1] n[,2,1] r[,1,2]     n[,1,2] r[,2,2] n[,2,2] 1   0   1   0   19  77  23  77  60  82  70  82 1   0   1   0   27  199 54  199 231 393 318 393 end 

the model syntactically correct , allows me load data. once compile error in title. thank given

it looks if inputting 2 2 matrix mean of multivariate normal distribution right here.

z[i,1:2,k] ~  dmnorm(theta[i,,],with[i,,])i(-5, 5)    #latent variable (z<0) or probit link 

however, appears if z vector of length 2. need input vector mean of dmnorm , give associated variance covariance matrix (i.e. if supply vector of length 3, needs have 3 3 variance covariance matrix). right have 2 2 matrix input mean (4 parameters) , 2 2 variance covariance matrix. not know motivation behind model can't provide suggestions on how fix per se, seems me need index theta bit more in order prevent putting matrix dmnorm.