You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
When running BMSel on a large dataset of ~17,000 markers, both lasso and lasso-pcvl fail to select any variable for the full dataset, though they do select some for subsets of a few hundred markers. For a couple of markers, I get "(only one value available for all observations)", and for about 5 lambdas (in the 80s and 90s), I get "from glmnet Fortran code (error code -93); Convergence for 93th lambda value not reached after maxit=100000 iterations; solutions for larger lambdas returned".
Is there a way to increase maxit through the biospear interface.
Failing to select even a single variable seems like an impossibility to me, could this be a bug?
Thanks,
John
The text was updated successfully, but these errors were encountered:
P.S.: Previous to using biospear, I have used a modification of the code in the paper supplement. In case this would be helpful, I'm attaching the source here, since it does actually select variables. pcvl.R.txt
When running BMSel on a large dataset of ~17,000 markers, both lasso and lasso-pcvl fail to select any variable for the full dataset, though they do select some for subsets of a few hundred markers. For a couple of markers, I get "(only one value available for all observations)", and for about 5 lambdas (in the 80s and 90s), I get "from glmnet Fortran code (error code -93); Convergence for 93th lambda value not reached after maxit=100000 iterations; solutions for larger lambdas returned".
Is there a way to increase maxit through the biospear interface.
Failing to select even a single variable seems like an impossibility to me, could this be a bug?
Thanks,
John
The text was updated successfully, but these errors were encountered: