anc.ML: Ancestral character estimation using likelihood
Description
This function estimates the evolutionary parameters and ancestral states for Brownian evolution using likelihood.
Usage
anc.ML(tree, x, maxit=2000)
Arguments
tree
an object of class "phylo".
x
a vector of tip values for species; names(x) should be the species names.
maxit
an optional integer value indicating the maximum number of iterations for optimization.
Value
a list with the following components:
sig2the variance of the BM process.
acea vector with the ancestral states.
logLikthe log-likelihood.
convergencethe value of $convergence returned by optim() (0 is good).
Details
Because this function relies on a high dimensional numerical optimization of the likelihood function, fastAnc should probably be preferred for most purposes. If using anc.ML, users should be cautious to ensure convergence.