Dear All, I am playing with different models/packages (random forest, logistic regression, gbm etc...) for a problem of binomial regression (i.e. the outcome is 0/1, dead or alive etc...). I have used in the past the multinom function from the nnet library which uses the neural networks for multinomial regression. I wonder if I can safely use the same function to investigate a binary outcome. I am not providing any code now, as I ask about the applicability of a library (I mean, meaningful results beside being able to run some code without any error message) to a slightly less general problem than it has been designed for. I would expect the answer to be a solid yes, but... you never know! Many thanks
Lorenzo [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.