delta.score

cluster

Allows for estimation of phylogenetic trees and networks
using Maximum Likelihood, Maximum Parsimony, distance methods and
Hadamard conjugation (Schliep 2011). Offers methods for tree comparison,
model selection and visualization of phylogenetic networks as described in
Schliep et al. (2017).

Klaus Schliep

phangorn

Phylogenetic Reconstruction and Analysis

Emmanuel Paradis

Leonardo de Oliveira Martins

Alastair Potts

Iris Bardel-Kahr

Tim W. White

Cyrill Stachniss

Michelle Kendall

Keren Halabi

Richel Bilderbeek

Kristin Winchell

Liam Revell

Mike Gilchrist

Jeremy Beaulieu

Brian O'Meara

Long Qu

Joseph Brown

Santiago Claramunt

delta.score function

<dl><dt>x</dt>
<dd>an object of class <code>phyDat</code></dd>
<dt>arg</dt>
<dd>Specifies the return value, one of "all", "mean" or "sd"</dd>
<dt>...</dt>
<dd>further arguments passed through <code>dist.hamming</code></dd></dl>

Arguments

Author

Computes the \(\delta\) score — delta.score

<dl>

<dt>x</dt>
<dd>an object of class <code>phyDat</code></dd>


<dt>arg</dt>
<dd>Specifies the return value, one of "all", "mean" or "sd"</dd>


<dt>...</dt>
<dd>further arguments passed through <code>dist.hamming</code></dd>

</dl>

Computes the \(\delta\) score

delta.score: Computes the \(\delta\) score

Description

Usage

Value

Arguments

Author

References

See Also

Examples