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Question about options #3

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kayserb opened this issue Mar 29, 2022 · 0 comments
Open

Question about options #3

kayserb opened this issue Mar 29, 2022 · 0 comments

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@kayserb
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kayserb commented Mar 29, 2022

Hi Kushal - This is a really great method. I had a couple questions regarding the different options available:

  1. 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?

  2. 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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