Hi,
I am interested in estimating discrete ancestral states in ace using the
calls:
fitER<-ace(tipRegion,tree,model="ER",type="discrete")
fitARD<-ace(tipRegion,tree,model="ARD",type="discrete", use.expm=TRUE)
When I fit the ARD model (with either use.expm=TRUE or use.eigen=TRUE), I
get the following warning:
1: In nlminb(rep(ip, length.out = np), function(p) dev(p), lower = rep(0,
: imaginary parts discarded in coercion
Additionally, the two rates which I expect to be the highest are estimated
as 0. There are 3 tip states for a tree of 146 tips and 145 internal nodes.
A likelihood ratio test supports the ARD model, but I cannot trust model
results. I am wondering:
1) is there an obvious error that is creating this warning and unexpected
output?
2) should I use a simpler model (i.e. SYM)? Or should I reclassify tip
states so that I examine transitions between only 2 states?
Thank you in advance for your help! This is a fantastic package!
Best,
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