I'm interested in expanding the model sets in posteriordb to include RTMB versions of the stan models. RTMB lets users write probabilistic models using plain R language which is then plugged into a C++ backend for autodiff etc. In that sense it is very similar to Stan. My interest is exploring the sparse NUTS algorithm on the sets of models here.
My plan was to fork and do a PR, putting the new models into an "RTMB" folder under posterior_database/models. I would use AI to help with the conversion and checking for matching lp__ calculations etc. Before I do this I wanted to ensure that the team here would even be willing to merge a PR in. Is RTMB within the potential scope of the repo?
I also could not get the guide for contributing to load, as noted in #298.
Any advice or thoughts on this?
I'm interested in expanding the model sets in posteriordb to include RTMB versions of the stan models. RTMB lets users write probabilistic models using plain R language which is then plugged into a C++ backend for autodiff etc. In that sense it is very similar to Stan. My interest is exploring the sparse NUTS algorithm on the sets of models here.
My plan was to fork and do a PR, putting the new models into an "RTMB" folder under posterior_database/models. I would use AI to help with the conversion and checking for matching lp__ calculations etc. Before I do this I wanted to ensure that the team here would even be willing to merge a PR in. Is RTMB within the potential scope of the repo?
I also could not get the guide for contributing to load, as noted in #298.
Any advice or thoughts on this?