Daijiang Li

Thanks @florianhartig `phyr` works with `DHARMa` thanks to @rdinnager, though with limited implementation at this moment. See an example here: https://daijiang.github.io/phyr/articles/phyr_example_empirical.html#model-assumption-checks-1

Thanks Prof. Bates! I ended with return a Dict so I can extract values by name later. I am converting Tony Ives' R code to do phylogenetic mixed models (mixed...

For the first one, use `xfun::numbers_to_words(1500780, and = TRUE)`. For the second one, currently, `xfun::numbers_to_words()` only works for integers. I am not sure how likely people want to spell out...

Can you send an exemplary dataset and code to reproduce your problem? Thanks!

I did not see the attachments. You can email them to me at [email protected]

Can you provide a reproducible example?

It seems that @rdinnager is working on this. @Flaiba if you don't need random terms, I think the `phylolm` package should work.

I don't think the binomial distribution has been implemented in our code yet. The binary version should work.

Tony, Now you should be able to use the `bind(success, fail)` in binomial formula when using `bayes = T`. Remember to set `ML.init = F` so it won't fit the...

Tony, Can you use `cbind(success, fail)` instead of `value` in the formula? It is tricky when using `value` in parsing the formula. Best, Daijiang