Analysis of Evolutionary Diversification
Akaike's Information Criterion for MCMC samples (AICM)
determining Akaike weights
phylogenetic ANOVA and MANOVA
estimate net diversification rate
calibrating MECCA
initialize proposal width
ultrametricization of trees from a supplied timetree
prior densities for truncated discrete random variable
prune specified taxa from a phylogenetic tree
disparity-through-time
Model fitting for continuous comparative data
Fit models of continuous trait evolution to comparative data using MCM...
Model fitting for discrete comparative data
NCBI taxonomy
example datasets
deprecated functions in GEIGER
internal geiger functions
internal geiger functions
GEIGER
posterior samples from single or multiple MCMC runs
tailor reversible-jump Markov chain Monte Carlo sampling
running a MECCA analysis
MEDUSA: modeling evolutionary diversification using stepwise AIC
Compares taxa in data and tree
using the Freckleton and Harvey node-height test
Blending information from taxonomies and trees
MEDUSA: modeling evolutionary diversification using stepwise AIC
using posterior predictive MCMC for modeling quantitative trait evolut...
call r8s from geiger
evolutionary VCV matrix
relative cladogenesis test
Rescale object of class "phylo"
Bayesian sampling of shifts in trait evolution: relaxed Brownian motio...
birth-death population simulator
birth-death tree simulator
simulate character evolution
starting values for MECCA
blending information from taxonomies and trees
descendents of a given node in a phylogenetic tree
conversion of MCMC samples between auteur and coda
compare taxa in data and tree
Methods for fitting macroevolutionary models to phylogenetic trees Pennell (2014) <doi:10.1093/bioinformatics/btu181>.