I've been running a few experiments with l1ou and it seems like analysis of multiple traits takes much longer when candidate edges are specified (ie, a total set of edges that is less than all edges in the tree). Is this expected?
I'm currently running a particularly extreme test with 8 traits, 200 tips -- the model is using about 70gb of memory on the first LASSO (and > 20 hours of computing so far). Running the same model without candidate edges completes in less time.
I've been running a few experiments with l1ou and it seems like analysis of multiple traits takes much longer when candidate edges are specified (ie, a total set of edges that is less than all edges in the tree). Is this expected?
I'm currently running a particularly extreme test with 8 traits, 200 tips -- the model is using about 70gb of memory on the first LASSO (and > 20 hours of computing so far). Running the same model without candidate edges completes in less time.
Thanks, Jake Berv