anc.Bayes: Bayesian ancestral character estimation
Description
This function uses Bayesian MCMC to sample from the posterior distribution for the states at internal nodes in the tree.
Usage
anc.Bayes(tree, x, ngen=10000, control=list())
Arguments
tree
an object of class "phylo".
x
a vector of tip values for species; names(x) should be the species names.
ngen
a integer indicating the number of generations for the MCMC.
control
a list of control parameters containing the following elements: sig2: starting value for $\sigma^2$ (BM rate); a: starting for the state at the root node; y: starting values for the states at all internal nodes exclu
Value
a matrix with number of rows ngen/sample+1 containing the posterior sample and likelihoods. Matrix columns are labeled either sig2 or by the node number of the internal node.