[R] logistic regression without intercept
Ross Boylan
ross at biostat.ucsf.edu
Tue Aug 19 23:57:16 CEST 2003
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.
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