 Hi,
 I am trying to use stepAIC to do forward stepwise selection for a logistic
model.
I did

 hi  <- glm(melanoma ~ ., family = binomial, data=data)

lo  <- glm(melanoma ~ 1, family = binomial, data=data)

 stepAIC(lo, scope=list(upper = hi , lower = lo), direction = "forward" )

But the full model hi did not converge since I have many many candidate
covariates:

Warning message:

algorithm did not converge in: glm.fit(x = X, y = Y, weights = weights,
start = start, etastart = etastart,…

 Question: Can I do the forward selection without specifying a maximal model
hi?


Thanks,

Minya Pu

	[[alternative HTML version deleted]]

