Dear R developers,
I have noticed a discrepancy between the coefficients returned by R's glm()
for logistic regression and SAS's PROC LOGISTIC. I am using dist = binomial
and link = logit for both R and SAS. I believe R uses IRLS whereas SAS uses
Fisher's scoring, but the difference is something like 100 SE on the
intercept. What accounts for such a huge difference?
Thank you for your time.
Ben Godlove
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