# mvr

From ape v4.1
by Emmanuel Paradis

##### Minimum Variance Reduction

Phylogenetic tree construction based on the minimum variance reduction.

- Keywords
- models

##### Usage

```
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"`

.

##### 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

##### Examples

```
# NOT RUN {
data(woodmouse)
rt <- dist.dna(woodmouse, variance = TRUE)
v <- attr(rt, "variance")
tr <- mvr(rt, v)
plot(tr, "u")
# }
```

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

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