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phangorn (version 1.99.14)

Phylogenetic Analysis in R

Description

Phylogenetic analysis in R: Estimation of phylogenetic trees and networks using Maximum Likelihood, Maximum Parsimony, distance methods and Hadamard conjugation.

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Install

install.packages('phangorn')

Monthly Downloads

17,645

Version

1.99.14

License

GPL (>= 2)

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Maintainer

Klaus Schliep

Last Published

July 9th, 2015

Functions in phangorn (1.99.14)

allTrees

Compute all trees topologies.
designTree

Compute a design matrix or non-negative LS
bootstrap.pml

Bootstrap
as.splits

Splits representation of graphs and trees.
splitsNetwork

Phylogenetic Network
dist.hamming

Pairwise Distances from Sequences
NJ

Neighbor-Joining
SOWH.test

Swofford-Olsen-Waddell-Hillis Test
nni

Tree rearrangements.
pml

Likelihood of a tree.
superTree

Super Tree and Species Tree methods
pmlMix

Phylogenetic mixture model
read.aa

Read Amino Acid Sequences in a File
yeast

Yeast alignment (Rokas et al.)
lento

Lento plot
neighborNet

Computes a neighborNet from a distance matrix
Ancestors

tree utility function
upgma

UPGMA and WPGMA
chloroplast

Chloroplast alignment
modelTest

ModelTest
midpoint

Tree manipulation
phyDat

Conversion among Sequence Formats
hadamard

Hadamard Matrices and Fast Hadamard Multiplication
dfactorial

Arithmetic Operators
plot.networx

Phylogenetic networks
pml.fit

Internal maximum likelihood functions.
phangorn-package

Phylogenetic analysis in R
cladePar

Utility function to plot.phylo
pmlPart

Partition model.
distanceHadamard

Distance Hadamard
Laurasiatherian

Laurasiatherian data (AWCMEE)
bab

Branch and bound for finding all most parsimonious trees
consensusNet

Computes a consensusNetwork from a list of trees Computes a networx object from a collection of splits.
SH.test

Shimodaira-Hasegawa Test
densiTree

Plots a densiTree.
treedist

Distances between trees
parsimony

Parsimony tree.
dist.p

Pairwise Polymorphism P-Distances from DNA Sequences
pmlCluster

Stochastic Partitioning
ancestral.pml

Ancestral character reconstruction.
simSeq

Simulate sequences.
getClans

Clans, slices and clips