TBR performs a single random TBR iteration.
Usage
TBR(tree, edgeToBreak = NULL, mergeEdges = NULL)
TBRMoves(tree, edgeToBreak = integer(0))
# S3 method for class 'phylo'
TBRMoves(tree, edgeToBreak = integer(0))
# S3 method for class 'matrix'
TBRMoves(tree, edgeToBreak = integer(0))
TBRSwap(
parent,
child,
nEdge = length(parent),
edgeToBreak = NULL,
mergeEdges = NULL
)
RootedTBR(tree, edgeToBreak = NULL, mergeEdges = NULL)
RootedTBRSwap(
parent,
child,
nEdge = length(parent),
edgeToBreak = NULL,
mergeEdges = NULL
)Arguments
- tree
A bifurcating tree of class
phylo, with all nodes resolved;- edgeToBreak
(optional) integer specifying the index of an edge to bisect/prune, generated randomly if not specified. Alternatively, set to
-1to return a complete list of all trees one step from the input tree.- mergeEdges
(optional) vector of length 1 or 2, listing edge(s) to be joined: In SPR, this is where the pruned subtree will be reconnected. In TBR, these edges will be reconnected (so must be on opposite sides of
edgeToBreak); if only a single edge is specified, the second will be chosen at random- parent
Integer vector corresponding to the first column of the edge matrix of a tree of class
phylo, i.e.tree[["edge"]][, 1]- child
Integer vector corresponding to the second column of the edge matrix of a tree of class
phylo, i.e.tree[["edge"]][, 2].- nEdge
(optional) Number of edges.
Value
TBR() returns a tree in phyDat format that has undergone one
TBR iteration.
TBRMoves() returns a multiPhylo object listing all trees one
TBR move away from tree, with edges and nodes in preorder,
rooted on the first-labelled tip.
TBRSwap() returns a list containing two elements corresponding
to the rearranged parent and child parameters.
Details
Branch lengths are not (yet) supported.
All nodes in a tree must be bifurcating; ape::collapse.singles and ape::multi2di may help.
Functions
TBRSwap(): faster version that takes and returns parent and child parametersRootedTBR(): Perform TBR rearrangement, retaining position of rootRootedTBRSwap(): faster version that takes and returns parent and child parameters
References
The TBR algorithm is summarized in Felsenstein J (2004). Inferring phylogenies. Sinauer Associates, Sunderland, Massachusetts.