Logistic regression model fitting via IRLS.
LogitModelFit[{{x1, y1}, {x2, y2}, …}, {f1, f2, …}, x]
LogitModelFit[data, {f1, …}, {x1, x2, …}]
LogitModelFit[{m, v}]
LogitModelFit[{1 / 3, 2 / 3, 5 / 5}, x, x]//Normal
→ 1/(1 + Exp[-(-2.8935923984738037 + 2.0014468292402556*x)])LogitModelFit[{{1, 1 / 3}, {2, 2 / 3}, {3, 5 / 5}}, x, x]//Normal
→ 1/(1 + Exp[-(-2.8935923984738037 + 2.0014468292402556*x)])