Dear list,
sorry for being late to the discussion. Thanks to the generous help of Iris
Bardel-Kahr we are improving the vignettes for phangorn adding some more
examples for morphological / complex / special traits. Please have a look
at the vignettes on the github page https://klausvigo.github.io/phangorn/
in the articles section. The titles might change and sections still get
moved around at the moment. So what you are interested in is distributed
over several vignettes. And suggestions for improvement are welcome.
In optim.pml() / pml_bb() you need to change the default value to
optEdge=FALSE in case you only want to estimate the parameters for the rate
matrix. Only time reversible models are possible at the moment.
A parsimony analysis at the start might be useful. If the parsimony score
divided by the number of sites is high, if you expect many state changes
the ancestral reconstruction. At the root you will see a mixture of all
states, which is a sign of uncertainty. This can also be an artefact if you
observe transitions on short edges (so-called cherries) which will bias
transition rates. However this you can catch if the number of expected
substitutions is considerably higher than the parsimony score / site.
Kind regards,
Klaus

On Mon, Nov 14, 2022 at 8:03 AM Jonas Eberle <eberle.jo...@gmail.com> wrote:

> Dear Chris,
>
> apart from the phangorn citation
> (https://cran.r-project.org/web/packages/phangorn/citation.html) you
> might be interested in this one:
> Sabatinelli, G., Eberle, J., Fabrizi, S. & Ahrens, D. (2020) A molecular
> phylogeny of Glaphyridae (Coleoptera: Scarabaeoidea): evolution of
> pollination and association with “Poppy guild” flowers. /Systematic
> Entomology/ n/a. https://doi.org/10.1111/syen.12429
>
> Good luck with your study!
>
> Best,
> Jonas
>
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-- 
Klaus Schliep

Senior Scientist
Institute of Environmental Biotechnology
TU Graz
https://ubt.tugraz.at <https://icbt.tugraz.at>

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