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bGlasso malfunctions with probit link #9
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Thanks for trying it out! Would you mind providing say |
Ok yeah, that makes sense. It ended up working just fine with the count data. I added the colSums as well so you could see the proportion of rows (actually 126, not 122) filled. I could try it again by removing some of the samples that have low diversity? There would still be a number of uncommon genera though.
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I've tried to run
bGlasso
with the same binary dataset asCARlasso
(sans predictors). It runs fine withCARlasso
and it appears to also be running fine withbGlasso
when I use the count dataset and log link instead. The matrix is 122 rows by 25 columnscarNull <- bGlasso(data=phdat[,1:25], link="probit", n_iter=2000, n_burn_in = 1000, thin_by=10)
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