HIRM <- function(x,l,base=exp(1)){
require(R2jags)
### Assemble data into list for JAGS====
y = x
base = base
itemID = colnames(y)
subjID = rownames(y)
Nitem = ncol(y)
Nsubj = nrow(y)
v = ncol(y)
n = nrow(y)
L = (l - 1)
dataList = list( y=y, base=base, Nsubj=Nsubj, Nitem=Nitem, L=L)
# Define the model====
modelString = "
model {
for ( i in 1:Nsubj ) {
for ( j in 1:Nitem ) {
y[i,j] ~ dbin( pCorr[i,j] , L)
pCorr[i,j] <- (1 - scale[i,j])/2
scale[i,j] <- ( base^(x[i,j]) - base^(-x[i,j]) ) / ( base^(x[i,j]) + base^(-x[i,j]) )
x[i,j] <- itemDiff[j] - subjAbil[i]
}
}
for ( subjIdx in 1:Nsubj ) {
subjAbil[subjIdx] ~ dbeta( (mu*(sigma-2)) + 1 , ((1 - mu)*(sigma-2)) + 1 )
}
for ( itemIdx in 1:Nitem ) {
itemDiff[itemIdx] ~ dbeta( (omega*(kappa-2)) + 1 , ((1 - omega)*(kappa-2)) + 1 )
}
mu ~ dbeta(1,1)
sigma <- sigmaMinusTwo + 2
sigmaMinusTwo ~ dgamma(.01,.01)
omega ~ dbeta(1,1)
kappa <- kappaMinusTwo + 2
kappaMinusTwo ~ dgamma(.01,.01)
}
" # close quote for modelString
model = textConnection(modelString)
# Run the chains====
# Name the parameters to be monitored
params <- c("pCorr","subjAbil","itemDiff")
# Random initial values
inits <- function(){list("subjAbil"=stats::rbeta(Nsubj,1,1),
"itemDiff"=stats::rbeta(Nitem,1,1))}
# Define some MCMC parameters for JAGS
nthin = 1 # How Much Thinning?
nchains = 3 # How Many Chains?
nburnin = 100 # How Many Burn-in Samples?
nsamples = 1100 # How Many Recorded Samples?
### Calling JAGS to sample
startTime = proc.time()
samples <- R2jags::jags(dataList, NULL, params, model.file =model,
n.chains=nchains, n.iter=nsamples, n.burnin=nburnin,
n.thin=nthin, DIC=T, jags.seed=666)
stopTime = proc.time(); elapsedTime = stopTime - startTime; methods::show(elapsedTime)
### Inspect and diagnose the run
REs <- colMeans(samples$BUGSoutput$sims.list$pCorr[,,])
abil <- colMeans(samples$BUGSoutput$sims.list$subjAbil)
diff <- colMeans(samples$BUGSoutput$sims.list$itemDiff)
dic <- samples$BUGSoutput$DIC
full <- samples
matrix <- ordering(REs,abil,diff)$matrix
Result <- list("matrix"=matrix,"abil"=abil,"diff"=diff,"dic"=dic,"full"=full)
return(Result)
}
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