I just realise that we do not have a
binomial_logit_glm function in the language. There is only a Bernoulli version of it or a categorical logit… but how come there is no
binomial_ logit glm function (which are super fast)?
Should that be worked on … so that an issue is needed?
I added binomial to an existing issue asking for more glm’s more glm functions · Issue #1964 · stan-dev/math · GitHub
Is it possible to relax the requirement of integers for inference-only purpose?
Is the motivation fractional counts from some kind of pre-processing?
If so, I’d suggest writing a different function rather than overloading
binomial, which is, strictly speaking, only defined with support over integers. A generalized real variate version would presumably take
p(y) propto theta^y * (1 - theta)^(N - y). What’s the normalizing term?
I understand your recommendation. Thank you.