SDM

0th

Percentile

Construction of Consensus Distance Matrix With SDM

This function implements the SDM method of Criscuolo et al. (2006) for a set of n distance matrices.

Keywords
models
Usage
SDM(...)
Arguments

2n elements (with n > 1), the first n elements are the distance matrices: these can be (symmetric) matrices, objects of class "dist", or a mix of both. The next n elements are the sequence length from which the matrices have been estimated (can be seen as a degree of confidence in matrices).

Details

Reconstructs a consensus distance matrix from a set of input distance matrices on overlapping sets of taxa. Potentially missing values in the supermatrix are represented by NA. An error is returned if the input distance matrices can not resolve to a consensus matrix.

Value

a 2-element list containing a distance matrix labelled by the union of the set of taxa of the input distance matrices, and a variance matrix associated to the returned distance matrix.

References

Criscuolo, A., Berry, V., Douzery, E. J. P. , and Gascuel, O. (2006) SDM: A fast distance-based approach for (super)tree building in phylogenomics. Systematic Biology, 55, 740--755.

See Also

bionj, fastme, njs, mvrs, triangMtd

Aliases
  • SDM
Documentation reproduced from package ape, version 5.3, License: GPL (>= 2)

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