Hi Jake.
[Edit: I see just now that Brian has also responded to this inquiry. I
have no doubt that his message is more insightful than mine - but I'll
nonetheless send what I was writing anyway just in case it contributes
anything useful to the discussion.]
If you're simply interested in the
Dear R-sig phylo
I’ve been running a few discrete character Mk type models using phytool's
SIMMAP — and I had the idea that it might be useful to try model averaging
across posterior probabilities for node states.
Might this make sense to do, to avoid problems associated with model ranking
I think this is ok in theory: say you have 10% of the weight on the ER
model, 90% on the ARD model, so your states at the nodes are based 10% on
the probabilities from ER, 90% from ARD. [Worth noting, of course, that
with N tips with one character each, estimating N-1 ancestral states, plus
the
