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.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.