MCITree: Maximum Clade Information Tree

In TreeDist: Calculate and Map Distances Between Phylogenetic Trees

Maximum Clade Information Tree

Description

Analogous to the Maximum Clade Credibility tree: select the tree from a posterior distribution whose clades have the highest information content. Generate the MCC tree by specifying info = "credibility".

Usage

MCITree(trees, info = "phylogenetic", check.tips = TRUE)

Arguments

trees	List of phylo objects, optionally with class multiPhylo.
info	Abbreviation of "phylogenetic" or "clustering", specifying the concept of information to employ.
check.tips	Logical specifying whether to renumber leaves such that leaf numbering is consistent in all trees.

Value

MCITree() returns the tree with the highest information content, selected from trees.

Author(s)

Martin R. Smith ([e-mail])

See Also

Other summary trees: TransferConsensus()

Examples

library("TreeTools", quietly = TRUE)
trees <- as.phylo(24:40, 16)

# Maximum Clade Information tree
mci <- MCITree(trees)
SplitwiseInfo(mci)
plot(mci)
p <- SplitFrequency(mci, trees) / length(trees)
LabelSplits(mci, round(p * 100), "%", bg = SupportColor(p))


# Compare with Maximum Clade Credibility tree
mcc <- MCITree(trees, "credibility")
plot(mcc)
p <- SplitFrequency(mcc, trees) / length(trees)
LabelSplits(mcc, round(p * 100), "%", bg = SupportColor(p))
SplitwiseInfo(mcc)

TreeDist documentation built on June 10, 2026, 5:06 p.m.