Hi everyone. I am now estimating the parameters for a logit model, and trying to get the estimates by laximizing the log_likelihood. The nlm function works nicely for maximizing the -(log_likelihood) and returns the parameter estimates that minimize the static, and the gradients also, but don't have any clue how I can get the standard error for the parameters. Any help will be greatly appreciated. Thanks.