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Geiger

This is the development version of the geiger package for manipulating phylogenetic comparative data and fitting macroevolutionary models. The package can be downloaded from CRAN

install.packages("geiger")

or installed directly from github with the devtools package

install.packages("devtools")
library(devtools)
install_github("mwpennell/geiger-v2")

Major features

geiger is a (growing) collection of methods developed over the years by many researchers. Here is a a non-comprehensive list of methods:

Citing geiger

If you use geiger, please cite:

Pennell, M.W., J.M. Eastman, G.J. Slater, J.W. Brown, J.C. Uyeda, R.G. FitzJohn, M.E. Alfaro, and L.J. Harmon. 2014. geiger v2.0: an expanded suite of methods for fitting macroevolutionary models to phylogenetic trees. Bioinformatics 30:2216-2218.

in addition to the original papers describing the methods.

Feedback

We are always looking to improve geiger. If you have comments/questions/ideas, we encourage you to get in contact by posting an issue or making a pull request.

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Version

Install

install.packages('geiger')

Monthly Downloads

5,241

Version

2.0.6.4

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Luke Harmon

Last Published

January 25th, 2020

Functions in geiger (2.0.6.4)

drop.extinct

prune specified taxa from a phylogenetic tree
dcount

prior densities for truncated discrete random variable
dtt

disparity-through-time
aicm

Akaike's Information Criterion for MCMC samples (AICM)
aicw

determining Akaike weights
congruify.phylo

ultrametricization of trees from a supplied timetree
geiger-example

internal geiger functions
geiger-data

example datasets
calibrate.mecca

calibrating MECCA
geiger-package

GEIGER
calibrate.rjmcmc

initialize proposal width
fitDiscrete

model fitting for discrete comparative data
nh.test

using the Freckleton and Harvey node-height test
geiger-internal

internal geiger functions
rc

relative cladogenesis test
geiger-defunct

deprecated functions in GEIGER
gbresolve

NCBI taxonomy
rescale

Tree transformations
load.rjmcmc

posterior samples from single or multiple MCMC runs
nodelabel.phylo

Blending information from taxonomies and trees
medusa

MEDUSA: modeling evolutionary diversification using stepwise AIC
name.check

Compares taxa in data and tree
sim.char

simulate character evolution
sim.bdtree

birth-death tree simulator
fitContinuousMCMC

Fit models of continuous trait evolution to comparative data using MCMC
pp.mcmc

using posterior predictive MCMC for modeling quantitative trait evolution
startingpt.mecca

starting values for MECCA
plot.medusa

MEDUSA: modeling evolutionary diversification using stepwise AIC
subset.phylo

blending information from taxonomies and trees
fitContinuous

model fitting for continuous comparative data
make.gbm

tailor reversible-jump Markov chain Monte Carlo sampling
r8s.phylo

call r8s from geiger
mecca

running a MECCA analysis
rjmcmc.bm

Bayesian sampling of shifts in trait evolution: relaxed Brownian motion
ratematrix

evolutionary VCV matrix
tips

descendents of a given node in a phylogenetic tree
treedata

compare taxa in data and tree
to.auteur

conversion of MCMC samples between auteur and coda
sim.bd

birth-death population simulator
aov.phylo

phylogenetic ANOVA and MANOVA
bd.ms

estimate net diversification rate