Generalized logit and inverse logit functionGregory R. Warnes
t) xi G(xiβt) 1 − G(xiβt) where G(z) is the logistic cumulative distribution function for the logit and flogit, G(z) is the normal cumulative distribution function for the probit and fprobit, and g(·) = {∂G(z)}/(∂z) is the corresponding density function....
Inverse logit functionLindsey Dietz
t) xi G(xiβt) 1 − G(xiβt) where G(z) is the logistic cumulative distribution function for the logit and flogit, G(z) is the normal cumulative distribution function for the probit and fprobit, and g(·) = {∂G(z)}/(∂z) is the corresponding density function....