n the model? it could be
> just a parameterization difference.
>
> albyn
>
> On Thu, Nov 11, 2010 at 12:41:03PM -0500, Benjamin Godlove wrote:
> > Dear R developers,
> >
> > I have noticed a discrepancy between the coefficients returned by R's
> glm()
> &g
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
Hi,
First let me say I am a big fan of R and appreciate all your time and
effort.
The update() function does not seem to work in a for loop. Consider the
following:
mdat <- matrix(c(1,2,3, 11,23,13, 12,4,8), nrow = 3, ncol=3, byrow=TRUE)
reg <- lm(mdat[7:9]~1)
for(i in 1:2) {
reg <- update(reg,
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