3 \title{Construction of Consensus Distance Matrix With SDM}
5 This function implements the SDM method of Criscuolo et al. (2006) for
6 a set of n distance matrices.
12 \item{\dots}{2n elements (with n > 1), the first n elements are the
13 distance matrices, the next n elements are the sequence length from
14 which the matrices have been estimated (can be seen as a degree of
15 confidence in matrices).}
18 Reconstructs a consensus distance matrix from a set of input distance
19 matrices on overlapping sets of taxa. Potentially missing values in
20 the supermatrix are represented by \code{NA}. An error is returned if
21 the input distance matrices can not resolve to a consensus matrix.
24 a 2-element list containing a distance matrix labelled by the union of
25 the set of taxa of the input distance matrices, and a variance matrix
26 associated to the returned distance matrix.
29 Criscuolo, A., Berry, V., Douzery, E. J. P. , and Gascuel, O. (2006)
30 SDM: A fast distance-based approach for (super)tree building in
31 phylogenomics. \emph{Systematic Biology}, \bold{55}, 740--755.
33 \author{Andrei Popescu \email{niteloserpopescu@gmail.com}}