bGlasso malfunctions with probit link

[kjmtaylor22]

I've tried to run bGlasso with the same binary dataset as CARlasso (sans predictors). It runs fine with CARlasso and it appears to also be running fine with bGlasso when I use the count dataset and log link instead. The matrix is 122 rows by 25 columns

carNull <- bGlasso(data=phdat[,1:25], link="probit", n_iter=2000, n_burn_in = 1000, thin_by=10)

Algorithm start...
progress:
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[----|----|----|----|----|----|----|----|----|----|
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Error in Intercept_Graphical_LASSO_hir_Cpp(y, 3, n_iter, n_burn_in, thin_by, : mvnrnd(): given covariance matrix is not symmetric positive semi-definite