Data from: Bayesian methods outperform parsimony but at the expense of precision in the estimation of phylogeny from discrete morphological data

Joseph E. O'Reilly, Mark N. Puttick, Luke Parry, Alistair R. Tanner, James E. Tarver, James Fleming, Davide Pisani, Philip C. J. Donoghue & Alastair R. Tanner
Different analytical methods can yield competing interpretations of evolutionary history and, currently, there is no definitive method for phylogenetic reconstruction using morphological data. Parsimony has been the primary method for analysing morphological data, but there has been a resurgence of interest in the likelihood-based Mk-model. Here, we test the performance of the Bayesian implementation of the Mk-model relative to both equal and implied-weight implementations of parsimony. Using simulated morphological data, we demonstrate that the Mk-model...
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