Data from: Bayesian long branch attraction bias and corrections

Previous work on the star-tree paradox has shown that Bayesian methods
suffer from a long branch attraction bias. That work is extended to
settings involving more taxa and partially resolved trees. The long branch
attraction bias is confirmed to arise more broadly and an additional
source of bias is found. A by-product of the analysis is methods that
correct for biases toward particular topologies. The corrections can be
easily calculated using existing Bayesian software. Posterior support for
a set of two or more trees can thus be supplemented with corrected
versions to cross-check or replace results. Simulations show the
corrections to be highly effective.