# SDM

##### 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

*Documentation reproduced from package ape, version 4.1, License: GPL (>= 2)*