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Thanks for making this available!
I am wondering if I can use LD matrix downloaded from (https://zenodo.org/record/3350914#.X94SHOn0lBx ) instead of computing by myself. For example, can I specify the path to this LD matrices and run SBayesR using hibayes package?
ldm1 = read("xx") # path to downloaded LD matrix fit = sbayes(sumstat=sumstat, ldm=ldm1, model="SBayesR", niter=20000, nburn=10000, outfreq=10, verbose=TRUE)
Thanks!
Ying
The text was updated successfully, but these errors were encountered:
Thank you for trying hibayes.
Sorry that hibayes could not use the LD matrix computed by GCTB, as hibayes uses different types of LD matrix. I just wondering why not use GCTB directly?
Hi Lilin,
Thank you so much for your reply! Yes I initially I tried the latest version of GCTB (2.02) but it didn't work in my current environment. So I was looking for other implementations online. I found GCTB (2.0) works in my environment. Thank you so much!
Hi there,
Thanks for making this available!
I am wondering if I can use LD matrix downloaded from (https://zenodo.org/record/3350914#.X94SHOn0lBx ) instead of computing by myself. For example, can I specify the path to this LD matrices and run SBayesR using hibayes package?
ldm1 = read("xx") # path to downloaded LD matrix
fit = sbayes(sumstat=sumstat, ldm=ldm1, model="SBayesR", niter=20000, nburn=10000, outfreq=10, verbose=TRUE)
Thanks!
Ying
The text was updated successfully, but these errors were encountered: