fitBayes(tree,x,ngen=10000,model="BM",method="reduced",control=list())"phylo".names(x) should contain the species names (not individual IDs)."BM" or "lambda"."reduced" or "full".sig2: starting value for sig^2 (BM rate); lambda: starting value for the lambda parameter; a: starting for the state at the root node; xbarngen/control$sample+1 containing the posterior sample and likelihoods. Matrix columns are labeled by species (for species means and variances), or by the corresponding evolutionary parameter.anc.Bayes, brownie.lite, evol.rate.mcmc