Fit a logistic regression model
[b, Ib, Vb] = logitfit(y,X,C)
Fit a logistic regression model.
Fit the model log(p/(1-p)) = X*b, where p is the probability that y is 1 and not 0. Output b is vector of point estimates, Ib is confidence intervals, and Vb is the estimated variance matrix of b. Input C is confidence level for the confidence intervals, default is 0.95.
If an intercept is not included in X it is automatically added as an extra column.