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: these can be (symmetric) matrices, objects of
14 class \code{"dist"}, or a mix of both. The next n elements are the
15 sequence length from which the matrices have been estimated (can be
16 seen as a degree of confidence in matrices).}
19 Reconstructs a consensus distance matrix from a set of input distance
20 matrices on overlapping sets of taxa. Potentially missing values in
21 the supermatrix are represented by \code{NA}. An error is returned if
22 the input distance matrices can not resolve to a consensus matrix.
25 a 2-element list containing a distance matrix labelled by the union of
26 the set of taxa of the input distance matrices, and a variance matrix
27 associated to the returned distance matrix.
30 Criscuolo, A., Berry, V., Douzery, E. J. P. , and Gascuel, O. (2006)
31 SDM: A fast distance-based approach for (super)tree building in
32 phylogenomics. \emph{Systematic Biology}, \bold{55}, 740--755.
34 \author{Andrei Popescu \email{niteloserpopescu@gmail.com}}
36 \code{\link{bionj}}, \code{\link{fastme}}, \code{\link{njs}},
37 \code{\link{mvrs}}, \code{\link{triangMtd}}