Dear Lev-

I don't think branching.times can compute these for non-ultrametric trees.

You can do this with package BAMMtools, but you need a "hidden" internal 
function. You can access it as 

"BAMMtools:::NU.branching.times"
 
It returns branching times relative to the most recently-occurring tip in the 
tree. It's a R-based recursion that is a little slower that the ape function, 
so it's not recommended as a replacement for branching.times if you have an 
ultrametric tree.

I'm not actively maintaining laser, but getBtimes returns the output of 
branching.times after sorting the times and stripping out the node names (this 
was useful for something many years ago!). If you plot sort(getBtimes(x)) and 
sort(branching.times(x)) they should be identical.

~Dan Rabosky



On Jan 12, 2016, at 7:37 PM, Yampolsky, Lev <yampo...@mail.etsu.edu> wrote:

> Dear Colleagues,
> 
> Does anyone know what is the difference between ape�s  branching.times() and 
> laser�s getBtimes()?
> And why they may be giving rather different results, particularly for 
> internal branches? (From an ultrametric tree created by
> chronotree <- chronos(tree, lambda = 1, model = "correlated", quiet = FALSE, 
> calibration = makeChronosCalib(tree), control = chronos.control())
> 
> Thank you very much in advance for your help!
> 
> PS. A related but less important question: I am curious how does 
> branching.times() calculate branching times from a non-ultrametric tree?
> 
> --
> Lev Yampolsky
> 
> Professor
> Department of Biological Sciences
> East Tennessee State University
> Box 70703
> Johnson City TN 37614-1710
> Cell 423-676-7489
> Office/lab 423-439-4359
> Fax        423-439-5958
> 
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_____________________
Dan Rabosky
Assistant Professor & Curator of Herpetology
Museum of Zoology &
Department of Ecology and Evolutionary Biology
University of Michigan
Ann Arbor, MI 48109-1079 USA

drabo...@umich.edu
http://www-personal.umich.edu/~drabosky
http://www.lsa.umich.edu/ummz/



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