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pmc (version 0.0-8)
Phylogenetic Monte Carlo
Description
Monte Carlo based model choice for applied phylogenetics of continuous traits
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Install
install.packages('pmc')
Monthly Downloads
307
Version
0.0-8
License
CC0
Issues
3
Pull Requests
0
Stars
2
Forks
1
Repository
https://github.com/cboettig/pmc
Maintainer
Carl Boettiger
Last Published
March 4th, 2013
Functions in pmc (0.0-8)
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getParameters.browntree
Method to extract the parameters
convert
toggles between ouch and ape format trees
loglik.fitContinuous
Method to extract the log likelihood
anoles
The anoles data set
get_data.fitContinuous
Method to grab the data
loglik.browntree
Method to extract the log likelihood
loglik
S3 generic to provide a log-likelihood
get_phy.fitContinuous
Method to grab the phylogeny
getParameters.hansentree
Method to extract the parameters
tree
The phylogeny for the anoles data set
paintBranches
Paints branches with regimes changing at nodes specified
treepower
function to create the power curve for a tree
get_data
S3 generic to grab trait data
plot_pars
plot the parameter distributions
treepalette
flexible regime coloring for trees
mrcaOUCH
Finds the most recent common ancestor on an OUCH formatted tree
simulate.fitContinuous
simulate method
loglik.hansentree
Method to extract the log likelihood
get_phy.ouchtree
Method to grab the phylogeny
getParameters
S3 generic to provide the parameters
pmc_fit
Fit any model used in PMC
get_phy
S3 generic to extract the phylogeny
plot.pmc
plot the distributions
simulate_and_update
Internal helper function Simulates under model A, updates both A and B based on that data
getParameters.fitContinuous
Method to extract the parameters
format_data
format data in ape format into ouch format
get_data.ouchtree
Method to grab the data
compute_regimes
internal method for computing the regimes used by format_data()
matchformats
Internal helper function to match data formats
update.fitContinuous
update a fitContinuous model
fitContinuous_object
wrapper for fitContinuous
pmc
Performs a phylogenetic monte carlo between modelA and modelB