Is there an R package that performs nonlinear logistic regression?
In more words: I have glm, with which I can go glm (cbind (success, failure) ~ variable 1 + variable2, data = df, family = binomial (link = 'logit')), and I can use nls to go nls (y ~ a * x^2 + b * x + c, data = df).
I'd like to have some function that would take the formula cbind (success, failure) ~ int - slo * x + gap / (1 + x / sca) (where x, success, and failure are the only data and everything else are parametres) with a binomial (link = 'logit') family, i.e. combine both things. I've been scouring Google and haven't been able to find anything like that.