Vectorizing bernoulli_logit_lpmf()

Algorithms
1

I’ve been looking into vectorizing the code for a Stan model and stumbled upon the issue of not being able to vectorizing bernoulli_logit_lpmf()

the current (working) code says

for (i in 1:N) {
log_lik[i] = bernoulli_logit_lpmf( Outcome[i] | mu[i] )
}

I’d like to turn it into

log_lik = bernoulli_logit_lpmf( Outcome | mu)

but this does not seem to work. Is there something obvious I’m missing, or is the function not vectorizable?

Thanks.
Riccardo

2

If you are trying to obtain the log likelihood for each observation, then the loop version is the only way to do it. The _lp{m,d}f functions return a scalar when passed containers, representing the log likelihood summed over conditionally independent observations.

3

ok. thanks! this makes sense.