x
(using ace
) and then simulates stochastic character histories using that model and the tip states on the tree.make.simmap(tree,x,model="SYM",nsim=1)
"phylo"
.ace
."phylo"
(or a modified "multiPhylo"
object, for nsim
> 1) with the following additional elements:brownie.lite
, brownieREML
, evol.vcv
, read.simmap
, plotSimmap