Are there plans to implement the
resp_se function for Dirichlet regression?
brm(y | se(x) ~ x, family = dirichlet(link = "logit", link_phi = "log"))`
I am trying to compute a time-series of variables that sum to 100 but also have (sometimes) significant measurement error. Maybe there’s another way to do this?
Related question: can I specify a number in the
se() function to pass the model a predetermined standard error?
- Operating System: MacOS 10.14
- brms Version: brms 2.10.0