I want to do a logistic regression without an intercept term. This option is absent from glm, though present in some of the inner functions glm uses. I gather glm is the standard way to do logistic regression in R.
Hoping it would be passed in, I said > r <- glm(brain.cancer~epilepsy+other.cancer, c3, > family=binomial(link="logit"), intercept=FALSE) which produced Error in glm.control(...) : unused argument(s) (intercept ...) Is there an easy way to do this? I suppose I could start hacking away at glm so it would take the argument and pass it on, but is it absent for a reason? Also, I noticed that S-Plus but not R has a glim routine that uses maximum likelihood. What would be the equivalent? Thanks. ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
