I have a beta regression where I model both the response and the dispersion, like this:
mean.spec <- as.formula(y ~ ...) disp.spec <- as.formula(~ ...) fit <- brm(bf(mean.spec, phi=disp.spec), family=Beta(), ...)
The model fits fine, but when I try to see what dispersion is taken at each observation:
I get back predictions of the response, i.e. the
resp argument is ignored.
This is likely something quite trivial, but I am stumped. Thank you very much in advance.
- Operating System: Windows 10
- brms: 2.9.0