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Hi Kushal - This is a really great method. I had a couple questions regarding the different options available:
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For Spearman correlations, can I input the rho and n into the
CorShrinkVector()function, or do rank correlations require bootstrapped-derived SEs for valid inference? -
I have a large number of correlations, but I am only interested in positive correlations. This will also save computational time because it is A LOT of correlations. If I subset to only positive correlations and feed them into
CorShrinkVector(), would specifying the "+uniform" distribution be the best way to proceed?
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