This function takes an object of class "simmap"
with a mapped binary or multistate trait and data for two and only two continuously valued character. It then fits four different evolutionary models: common rates and correlation; different rates, common correlation; different correlations, common rates; no common structure.
evolvcv.lite(tree, X, maxit=2000, tol=1e-10)
an object of class "simmap"
. If tree
is an object of class "phylo"
then a simple multivariate Brownian motion model will be fit to the data in X
.
an n
x m
matrix of tip values for m
continuously valued traits in n
species - row names should be species names.
an optional integer value indicating the maximum number of iterations for optimization - may need to be increased for large trees.
tolerance value for "L-BFGS-B"
optimization.
A list with the results summarized for each model.
Revell, L. J., and D. C. Collar (2009) Phylogenetic analysis of the evolutionary correlation using likelihood. Evolution, 63, 1090-1100.
Revell, L. J. (2012) phytools: An R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol., 3, 217-223.