mvr: Minimum Variance Reduction

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/mvr.R

Description

Phylogenetic tree construction based on the minimum variance reduction.

Usage

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mvr(X, V)
mvrs(X, V, fs = 15)

Arguments

X

a distance matrix.

V

a variance matrix.

fs

agglomeration criterion parameter: it is coerced as an integer and must at least equal to one.

Details

The MVR method can be seen as a version of BIONJ which is not restricted to the Poison model of variance (Gascuel 2000).

Value

an object of class "phylo".

Author(s)

Andrei Popescu

References

Criscuolo, A. and Gascuel, O. (2008). Fast NJ-like algorithms to deal with incomplete distance matrices. BMC Bioinformatics, 9.

Gascuel, O. (2000). Data model and classification by trees: the minimum variance reduction (MVR) method. Journal of Classification, 17, 67–99.

See Also

bionj, fastme, njs, SDM

Examples

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data(woodmouse)
rt <- dist.dna(woodmouse, variance = TRUE)
v <- attr(rt, "variance")
tr <- mvr(rt, v)
plot(tr, "u")

ape documentation built on April 25, 2021, 9:06 a.m.