RStar(), implementing Jansson et al. (2016) and parallelization.First public release.
Split-based consensus methods:
Strict(), Majority() / MajorityRule(): wrappers around
TreeTools::Consensus().Loose(): loose (semi-strict / combinable-component) consensus.Greedy(): greedy (extended majority-rule) consensus.MajorityPlus(): majority-rule (+) consensus.Frequency(): frequency-difference consensus.Rooted-tree consensus methods:
Adams(): Adams consensus.RStar(): R* consensus, assembled from the strong clusters of the majority
resolved-triplet set (Jansson, Sung, Vu & Yiu 2016).Local(): local consensus (MinRLC / MinILC).Distance- and branch-length-based summaries:
Average(): distance-based average consensus.Transfer(): tree minimizing the summed transfer distances to the inputs.Quartet(): tree minimizing the summed symmetric quartet distance to the
inputs (Takazawa et al. 2026).BHVDistance() (Owen-Provan
geodesic distance), BHVPairwiseDistances(), BHVMean() (Fréchet mean) and
BHVVariance().An introductory vignette (ConsTree) demonstrates each method family on worked
exemplars.