Network Inference in Unpartitioned Datasets

[lutteropp]

How does the number of partitions influence the number of inferred reticulations?

It is obvious that with LikelihoodType.BEST, network inference on an unpartitioned MSA will always lead to a tree.

However, it would be interesting to see how well NetRAX can recover reticulations in an unpartitioned MSA with LikelihoodType.AVERAGE... For this, I suggest an additional experiment where NetRAX is once run with and once without the partitions file.