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
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