Evidence of Absence Treated as Absence of Evidence: The Effects of Variation in the Number and Distribution of Gaps Treated as Missing Data on the Results of Standard Maximum Likelihood Analysis
D. Jacob Machado, S. Castroviejo-Fisher, T. Grant
The paper evaluates how variation in gap numbers and distributions affects maximum likelihood analysis results, finding negative correlations between ML scores and gap opening costs and missing data.
bioRxiv · Sep 5, 2019Evolutionary Biology