Nothing
sep.1z01 <-
function(y, n, xmu.1, p.xmu, xsum.1, p.xsum, x1.1, p.x1, x0.1, p.x0,
rid, EUID, nEU, prior1, prior2, prior.beta, prior.Sigma,
prec.int, prec.DN, lambda.L1, lambda.L2, lambda.ARD,
scale.unif, scale.halft, link, n.chain, inits, seed)
{
dataIn <- vector("list",19)
names(dataIn) <- c("n","y","xmu.1","p.xmu","xsum.1","p.xsum","x0.1","p.x0",
"x1.1","p.x1","zero","link","hyper","prior1","prior2","rid",
"EUID", "nEU","hyper2")
dataIn[[1]] <- n
dataIn[[2]] <- y
dataIn[[3]] <- as.matrix(xmu.1)
dataIn[[4]] <- p.xmu
dataIn[[5]] <- as.matrix(xsum.1)
dataIn[[6]] <- p.xsum
dataIn[[7]] <- as.matrix(x0.1)
dataIn[[8]] <- p.x0
dataIn[[9]] <- as.matrix(x1.1)
dataIn[[10]]<- p.x1
dataIn[[11]]<- rep(0,n)
dataIn[[12]]<- link
dataIn[[13]]<- as.matrix(cbind(prec.int,prec.DN,lambda.L1,lambda.L2,lambda.ARD))
if(grepl("unif",prior.Sigma)) dataIn[[19]] <- scale.unif
if(grepl("halfcauchy",prior.Sigma)) dataIn[[19]] <- scale.halft
dataIn[[14]] <- prior1
dataIn[[15]] <- prior2
dataIn[[16]] <- rid
dataIn[[17]] <- EUID
dataIn[[18]] <- nEU
if(is.null(seed)){
init <- function(rngname, rngseed ){
list("tmp1" = rnorm(1,0,0.1),
"tmp2" = rnorm(1,0,0.1),
"tmp3" = rnorm(1,0,0.1),
"tmp4" = rnorm(1,0,0.1),
"b.tmp" = matrix(rnorm((p.xmu-1)*4,0,0.1),ncol=4),
"d.tmp" = matrix(rnorm((p.xsum-1)*4,0,0.1),ncol=4),
"b0.tmp" = matrix(rnorm((p.x0-1)*4,0,0.1),ncol=4),
"b1.tmp" = matrix(rnorm((p.x1-1)*4,0,0.1),ncol=4),
"sigmab.L1" = runif((p.xmu-1),0,2),
"sigmad.L1" = runif((p.xsum-1),0,2),
"sigmab1.L1" = runif((p.x1-1),0,2),
"sigmab0.L1" = runif((p.x0-1),0,2),
"taub.ARD" = runif((p.xmu-1),0,2),
"taud.ARD" = runif((p.xsum-1),0,2),
"taub1.ARD" = runif((p.x1-1),0,2),
"taub0.ARD" = runif((p.x0-1),0,2),
"taub.L2" = runif(1,0,2),
"taud.L2" = runif(1,0,2),
"taub0.L2" = runif(1,0,2),
"taub1.L2" = runif(1,0,2),
"sigma1" = runif(1,0.25,1),
"scale2" = runif(1,0.25,1))}
inits.internal <- list(init( ));
if(n.chain >= 2) {
for(j in 2:n.chain) inits.internal <- c(inits.internal,list(init()))}
} else{
init <- function(rngname, rngseed ){
list("tmp1" = rnorm(1,0,0.1),
"tmp2" = rnorm(1,0,0.1),
"tmp3" = rnorm(1,0,0.1),
"tmp4" = rnorm(1,0,0.1),
"b.tmp" = matrix(rnorm((p.xmu-1)*4,0,0.1),ncol=4),
"d.tmp" = matrix(rnorm((p.xsum-1)*4,0,0.1),ncol=4),
"b0.tmp" = matrix(rnorm((p.x0-1)*4,0,0.1),ncol=4),
"b1.tmp" = matrix(rnorm((p.x1-1)*4,0,0.1),ncol=4),
"sigmab.L1" = runif((p.xmu-1),0,2),
"sigmad.L1" = runif((p.xsum-1),0,2),
"sigmab1.L1" = runif((p.x1-1),0,2),
"sigmab0.L1" = runif((p.x0-1),0,2),
"taub.ARD" = runif((p.xmu-1),0,2),
"taud.ARD" = runif((p.xsum-1),0,2),
"taub1.ARD" = runif((p.x1-1),0,2),
"taub0.ARD" = runif((p.x0-1),0,2),
"taub.L2" = runif(1,0,2),
"taud.L2" = runif(1,0,2),
"taub0.L2" = runif(1,0,2),
"taub1.L2" = runif(1,0,2),
"sigma1" = runif(1,0.25,1),
"scale2" = runif(1,0.25,1),
.RNG.name = rngname,
.RNG.seed = rngseed)}
# 1b, 2d, 3b0, 4d1,
# 5 sigma1 scale2
set.seed(seed[1]); inits.internal <- list(init("base::Super-Duper", seed[1]));
if(n.chain >= 2) {
for(j in 2:n.chain){
set.seed(seed[j]);
inits.internal <- c(inits.internal,list(init("base::Wichmann-Hill",seed[j])))}}
}
if(!is.null(inits)){
for(i in 1:n.chain){
if(!is.null(inits[[i]]$b)) {
inits.internal[[i]][[1]] <- inits[[i]]$b[1]
if(p.xmu>=2) inits.internal[[i]][[5]] <- matrix(rep(inits[[i]]$b[2:p.xmu],4),
ncol=4, byrow=FALSE)}
if(!is.null(inits[[i]]$d)) {
inits.internal[[i]][[2]] <- inits[[i]]$d[1]
if(p.xsum>=2) inits.internal[[i]][[6]] <- matrix(rep(inits[[i]]$d[2:p.xsum],4),
ncol=4, byrow=FALSE)}
if(!is.null(inits[[i]]$b0)) {
inits.internal[[i]][[3]] <- inits[[i]]$b0[1]
if(p.x0>=2) inits.internal[[i]][[7]] <- matrix(rep(inits[[i]]$b0[2:p.x0],4),
ncol=4, byrow=FALSE)}
if(!is.null(inits[[i]]$b1)) {
inits.internal[[i]][[4]] <- inits[[i]]$b1[1]
if(p.x1>=2) inits.internal[[i]][[8]] <- matrix(rep(inits[[i]]$b1[2:p.x1],4),
ncol=4, byrow=FALSE)}
if(!is.null(inits[[i]]$sigma)) {
inits.internal[[i]][[21]]<- inits[[i]]$sigma
inits.internal[[i]][[22]]<- inits[[i]]$sigma}
}}
op<- system.file("bugs", "sep_1z01.bug",package="zoib")
model <- jags.model(op,data=dataIn,n.adapt=0, inits=inits.internal,n.chains=n.chain)
return(model)
}
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