non-Gaussian RE distributions

[palday]

I'm only aware of support for this brms, and even then it seems to be not that useful for most cases:

https://github.com/paul-buerkner/brms/issues/231

[wviechtb]

There is some stuff in the repeated package for this.

[palday]

Not really useful in terms of software, but adding a list of possibly interesting reading on this front in the hopes it's useful to our future selves

• https://arxiv.org/pdf/1201.1980
• https://niasra.uow.edu.au/content/groups/public/@web/@inf/@math/documents/mm/uow236296.pdf
• https://stackoverflow.com/questions/45656714/user-defined-random-intercept-distribution-for-glmer
• https://doi.org/10.1016/j.csda.2011.12.002
• https://www.jstor.org/stable/3068418
• https://doi.org/10.1016/S0167-9473(96)00047-3
• https://discourse.mc-stan.org/t/non-normal-random-effects-in-glmm/7373
• https://stats.stackexchange.com/questions/366483/why-are-random-effects-assumed-to-follow-a-normal-distribution-in-glmms
• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2880516/