Hi Belinda,
I agree with Brian�s comment. I�d also add the more general point that OU
models don�t really have a clearly interpretable rate parameter in the same way
that BM models do. In BM models, the sigma parameter controls the pace of
trait evolution: the expected change over a given
Hi, Belinda.
One thing to watch is over-intepretation: BM is consistent with drift, OU
is consistent with selection, but various kinds of selection can also lead
to BM. [1]. A lot of the people involved in these methods (including me)
are guilty of sloppiness in language in this area, leading to
Dear all,
I am a newbie to this mailing list and phylogenetic analyses in R and hope you can comment on a question I have. I would like to estimate the rate of evolution of a continous trait and check if the trait evolves faster along some branches of the topology. I already checked with Pagels
Hi David and Joe.
Thanks for your input/questions.
David: My tree is non-ultrametric because it is undated tree of extant
taxa. It does not include taxa from the fossil record. Making a dated tree
seems like a good option, but what about the option of using NonParametric
Rate Smoothing (NPRS) or
Brian-
Is your tree non-ultrametric because it contains extinct taxa from the
fossil record, or is it simply an undated tree of extant taxa?
To my knowledge, there isn't yet a satisfactory solution to the first
(no BISSE for paleo-phylogenies) but if the second then, it seems the
best route
