powered by
ccov(X,lambda=0, w=NULL, compute_cor=FALSE)
## Not run: # # generate random data # rand_data(500,5000) # # # compute correlation matrix of t(M) # corM <- ccov(t(M),compute_cor=T) # ## End(Not run)
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