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## File Name: tam_stud_prior_multiple_groups.R
## File Version: 0.10
tam_stud_prior_multiple_groups <- function(theta, Y, beta, variance, nstud,
nnodes, ndim, YSD, unidim_simplify, G, group_indices, snodes=0,
normalize=FALSE )
{
if (G==1){
gwt <- tam_stud_prior(theta=theta, Y=Y, beta=beta,
variance=variance, nstud=nstud,
nnodes=nnodes, ndim=ndim, YSD=YSD, unidim_simplify=unidim_simplify,
snodes=snodes, normalize=normalize )
}
if (G>1){
gwt <- matrix( NA, nrow=nstud, ncol=nnodes)
for (gg in 1:G){
ind_gg <- group_indices[[gg]]
nstud_gg <- length(ind_gg)
variance_gg <- matrix( variance[gg,,], nrow=ndim, ncol=ndim)
gwt_gg <- tam_stud_prior(theta=theta, Y=Y[ ind_gg,, drop=FALSE],
beta=beta, variance=variance_gg, nstud=nstud_gg,
nnodes=nnodes, ndim=ndim, YSD=YSD, unidim_simplify=unidim_simplify,
snodes=snodes, normalize=normalize )
gwt[ ind_gg, ] <- gwt_gg
}
}
return(gwt)
}
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