Thanks, Liam. good to know. I think extending the tools to analyze traits
of ordered/unordered multistates can be very useful. There are many
interesting traits such as oxygent requirement (anaerobic, facultative,
aerobic) of microbes, which is ordered multistates, and habitats (water,
air, soil),
New Bio wrote:
Thanks, Liam. good to know. I think extending the tools to analyze traits
of ordered/unordered multistates can be very useful. There are many
interesting traits such as oxygent requirement (anaerobic, facultative,
aerobic) of microbes, which is ordered multistates, and
Thanks for clarifying this, Joe.
My function for ancestral character estimation under the threshold model
(ancThresh) allows multistate data - but the order of the states along
the liability axis needs to be specified a priori by the user.** The
relative positions of the thresholds are
Hi Peter.
I'm not sure if this is what you mean, but Felsenstein (2005, 2012) has
a method for estimating the correlation between discrete characters or a
discrete and a continuous character in which the discrete trait is
modeled using the threshold model from quantitative genetics. There is
Peter - I realized that this is not very clear. Threshml can analyze
multiple continuous discrete characters, but the discrete characters
must be binary. threshBayes has the same limitation, but is also limited
to only two traits (binary-binary, binary-continuous, or
continuous-continuous). -
Dear all,
Just started studying phylogeny. I know BayesTraits program can calculate
the likelihood of the observed data given the model of two charaters evolve
dependently or independently. I am wondering how to do it with R packages
or functions for discrete and continuous characters?
Best,