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phangorn (version 1.99-11)

Phylogenetic analysis in R

Description

Phylogenetic analysis in R (Estimation of phylogenetic trees and networks using Maximum Likelihood, Maximum Parsimony, Distance methods & Hadamard conjugation)

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Install

install.packages('phangorn')

Monthly Downloads

20,307

Version

1.99-11

License

GPL (>= 2)

Issues

Pull Requests

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Maintainer

Klaus Schliep

Last Published

November 11th, 2014

Functions in phangorn (1.99-11)

Laurasiatherian

Laurasiatherian data (AWCMEE)
SH.test

Shimodaira-Hasegawa Test
distanceHadamard

Distance Hadamard
hadamard

Hadamard Matrices and Fast Hadamard Multiplication
consensusNet

Computes a conensusNetwork from a list of trees Computes a networx object from a collection of splits.
Ancestors

tree utility function
pmlMix

Phylogenetic mixture model
NJ

Neighbor-Joining
yeast

Yeast alignment (Rokas et al.)
dist.p

Pairwise Polymorphism P-Distances from DNA Sequences
pmlCluster

Stochastic Partitioning
lento

Lento plot
ancestral.pml

Ancestral character reconstruction.
simSeq

Simulate sequences.
bab

Branch and bound for finding all most parsimonious trees
modelTest

ModelTest
designTree

Compute a design matrix or non-negative LS
pml

Likelihood of a tree.
upgma

UPGMA and WPGMA
dfactorial

Arithmetic Operators
treedist

Distances between trees
getClans

Clans, slices and clips
read.aa

Read Amino Acid Sequences in a File
cladePar

Utility function to plot.phylo
SOWH.test

Swofford-Olsen-Waddell-Hillis Test
pmlPart

Partition model.
phangorn-package

Phylogenetic analysis in R
parsimony

Parsimony tree.
splitsNetwork

Phylogenetic Network
as.splits

Splits representation of graphs and trees.
allTrees

Compute all trees topologies.
nni

Tree rearrangements.
midpoint

Tree manipulation
dist.hamming

Pairwise Distances from Sequences
bootstrap.pml

Bootstrap
chloroplast

Chloroplast alignment
pml.fit

Internal maximum likelihood functions.
phyDat

Conversion among Sequence Formats
plot.networx

Phylogenetic networks
densiTree

Plots a densiTree.
superTree

Super Tree and Species Tree methods