Link functions for logistic regression
The complementary log-log link g(p) = log(-log(1-p)) is appropriate when modeling the probability of non-zero counts when the counts are Poisson-distributed with mean lambda = exp(lin_pred).
The canonical link function for logistic regression is the logit function g(p) = log(p/(1-p)).
