Support Weighting

Previous weighting methods—including compatibility weighting—have assumed that homoplasy indicates unreliability, but this assumption does not seem to hold for large molecular data matrices. Reliability can be better assessed by support weighting, which measures the degree to which the changes in a character (site) are concentrated in the supported branches of a tree. Jackknife resampling can be used to generate randomly selected suites of initial weights in successive support weighting, and this provides a way of assessing the stability of successive weighting results.

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