bgoodri

It is quite tedious to get RStan-related things to work correctly on Macs with R 3.x . On Tue, Nov 10, 2020 at 12:33 PM Jonah Gabry wrote: > Hmm,...

Or perhaps `mgcv::jagam` On Fri, Jul 27, 2018 at 5:19 AM Carlos Serra Traynor < [email protected]> wrote: > Hi all, > > I do think that the issue is located...

This is happening to me also with `gamm4::gamm4` so I think it is something that would have to be addressed in the **mgcv** package somewhere in ``` 4: terms.formula(gf, specials...

We should release both and then shortly thereafter change the structure of rstanarm on GitHub to what rstantools would create for a new package. On Sat, May 4, 2019 at...

Perhaps we should clarify that developers should look at the rstanarm repo on GitHub rather than the .tar.gz file on CRAN, which has a bunch of important stuff omitted due...

Also, for a `stanreg` object, shinystan should just call `posterior_predict` rather than asking the user to select the name of the posterior predictions.

I don't really know; start with just making it possible to do something with a `stanreg` object because it is not going to have a drop-down entry for y_rep. Rather...

At a minimum, a `stanreg` object can store its y in a canonical form for each type of model so it is easy to use if shinystan knows those forms....

We'll look into it, but Sepal.Width ~ Sepal.Length + I(Sepal.Length^2) + s(Petal.Width), random = ~(1 | Species), data = iris) should at least get it going. On Tue, Jul 24,...

With QR = TRUE On Mon, Oct 8, 2018 at 1:16 PM Dominique Makowski wrote: > @bgoodri Thanks, the workaround works > (although I am wondering if it's possible to...