Description Usage Arguments Value Author(s) References See Also Examples
Conducts a likelihood ratio test between empirical data (phylogeny and trait data), and simumlations from the function chr.disp.sim using an approximate Bayesian computation (ABC) approach (Clarke et al. 2017)
1 | chr.disp.lrt(emp.tree, emp.data, param.out, posteriorSize = 500)
|
emp.tree |
An empirical phylogeny - a object of class |
emp.data |
Continuous trait data matrix |
param.out |
simulated data from the function |
posteriorSize |
The number of samples to use in the likelihood-ratio test |
List containing element of 'estimates' with the estimates of sigma and a, with the Brownian motion (a = 0) summarised in column one and the character displacement (a > 0) in column two. 'likelihood' contains the likelihood of the Brownian motion model and the character displacement model, and the likelihood ratio test estimate. If used, there is an estimate of Blomberg's K for the empirical and simulated data.
Magnus Clarke and Mark Puttick
Clarke M, Thomas GH, Freckleton RP. 2017. Trait evolution in adaptive radiations: modelling and measuring interspecific competition on phylogenies. The American Naturalist. 189, 121-137.
1 2 3 4 5 6 7 8 | ## import finch data form Clarke et al. (2017)
data(finches)
## simulate small amount of data
## (example only - many more datasets are required for accuracy)
param.simulation <- chr.disp.param(finch.tree, n.sim = 100, n.steps=100,
max.sigma = 8, max.a = 8, ntraits=1,
allopatry=as.matrix(allopatric.data), mc.cores = 1)
chr.disp.lrt(finch.tree, finch.data, param.simulation, 50)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.