2n elements (with n > 1), the first n elements are the
    distance matrices: these can be (symmetric) matrices, objects of
    class <code>"dist"</code>, 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).


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


models

Functions for reading, writing, plotting, and manipulating phylogenetic trees, analyses of comparative data in a phylogenetic framework, ancestral character analyses, analyses of diversification and macroevolution, computing distances from DNA sequences, reading and writing nucleotide sequences as well as importing from BioConductor, and several tools such as Mantel's test, generalized skyline plots, graphical exploration of phylogenetic data (alex, trex, kronoviz), estimation of absolute evolutionary rates and clock-like trees using mean path lengths and penalized likelihood, dating trees with non-contemporaneous sequences, translating DNA into AA sequences, and assessing sequence alignments. Phylogeny estimation can be done with the NJ, BIONJ, ME, MVR, SDM, and triangle methods, and several methods handling incomplete distance matrices (NJ*, BIONJ*, MVR*, and the corresponding triangle method). Some functions call external applications (PhyML, Clustal, T-Coffee, Muscle, MAFFT) whose results are returned into R.

SDM: Construction of Consensus Distance Matrix With SDM

Description

Usage

Arguments

Value

Details

References

See Also