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# This function reduces covariances to limit the correlation to be too strong, useful for starting values (I hope):
maxcor <- function(cov, max = 0.1){
if (is.list(cov)) {
return(lapply(cov,maxcor))
}
cor <- cov2cor(cov)
sd <- diag(sqrt(diag(cov)))
cor[] <- pmin(max,pmax(-max,cor))
diag(cor) <- 1
sd %*% cor %*% sd
}
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