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It's an interesting idea, but my initial impression is that, in the absence of any leaves unambiguously labelled |
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One other thing to note here is that due to a bug in Morphy, leaves labelled |
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Dear Professor Smith,
Brazeau et al. (2019) advocated that “additive binary coding” should perhaps be used instead of reductive coding for neomorphic characters, which is commonly employed. This was because, when using the Brazeau et al.'s algorithm, reductive coding for neomorphic characters will often artifactually lend support for clans that are united by nonderived conditions (typically absence), which clearly convey less information than derived conditions (typically presence), and additive binary coding will prevent this from happening.
However, as also recognized in Brazeau et al. (2019), there is a problem with binary additive coding as well; the loss of a principal character requires [the number of its subordinate characters whose states are derived + 1] steps, which seems to be unrealistic.
I have come up with a new approach “semi-additive binary coding” to this problem although I am not sure if it is a right one. In this coding scheme (or, rather, a matrix transformation scheme), states in neomorphic characters that would be coded as “-” in reductive coding are coded as “(-0)”. I think that this coding scheme may be defensible on the principle of averaging multiple contradictory matrices (Ashkenazy et al., 2019), and that it may avoid artifactual clustering of taxa with nonderived states. As such, it may recover more accurate trees than the two aforementioned approaches, although of course it would not be a very great way to handle the problem.
My question is: is my “semi-additive binary coding” justified? If it is justified, I will post some issues I have found in running a matrix with this approach in TreeSearch.
Thank you very much for your time and support.
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