Hi Liam,
I don't have the exact answer you are looking for, but I would highly
recommend the brms package in R. It is incredibly flexible and has
excellent diagnostic tools like LOO and WAIC that are easy to use and
interpret for model selection. I think it would work well for the models
you prese
You will want to try Bayesian mixed modeling which can handle your species
# problem by using “species” as a group level (i.e. “random”) effect. I
would recommend r packages brms and MCMCglmm and their vignettes. Both have
detailed “phylo” examples.
Maybe check out the r-sig-mixed-model listserv a
Hi,
The great package brms has zero and zero-one inflated distributions
available (poisson and beta I believe). There is a phylogenetic vignette
with the package, and you can run those models with any available
distribution.
Jon Nations
On Tue, Oct 8, 2019 at 5:02 AM wrote:
> Send R-sig-phylo
Hi Charles,
I’m sorry... I don’t have a solution to your plotting issues, but here are
a couple of ideas. I know there are two ggplot2 extension packages that
plot or wrangle node based graphs: ggraph and tidygraph. Both were written
by the same developer. ggraph plots relational or network data i
Hi Ted,
The R library brms had many distributional families including a log-normal
hurdle distribution. I think this is the one you want as it sounds like you
have a continuous, positive horn length measurement along with your animals
that lack horns. It looks like this family has an extra “hu” pa