Nothing
randfun.default <-
function(desmat.out) {
desmat <- desmat.out$desmat
Z <- desmat.out$Z
clustvar <- desmat.out$clustvar
blockvar <- desmat.out$blockvar
perm <- rep(0, length(Z))
for(b in 1:nrow(desmat)){
block.tr <- sample(desmat[b,]$n,desmat[b,]$m)
perm[blockvar==b][block.tr] <- 1
}
perm.index <- c(1:length(perm))
permclus <- perm[match(clustvar, perm.index)]
return(permclus)
}
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