I already looked. This help file for "loglin (
http://127.0.0.1:12583/library/stats/html/loglin.html) says:
"The Iterative Proportional Fitting algorithm as presented in Haberman
(1972) is used for fitting the model. At most iter iterations are
performed, convergence is taken to occur when the maximum deviation between
observed and fitted margins is less than eps." And the default eps is 0.1

So, is it then the convergence criterion used by glm when
family=binomial("logit")?
I just need to know for sure.

Thanks for confirming!
Dimitri



On Tue, Jan 22, 2013 at 6:37 PM, David Winsemius <dwinsemius@comcast.net>wrote:

>
> On Jan 22, 2013, at 2:55 PM, Dimitri Liakhovitski wrote:
>
> > Dear R-ers,
> >
> > I am running logistics regression using package "glm": glm(myDV ~ .,
> > data=mydata, family=binomial("logit"))
> >
> > I have a general question: in "glm" (binary logit) - what convergence
> > criterion is being used?
>
> You should look at the help page for `glm` (and follow the obvious links.)
> >
> > --
>
> David Winsemius
> Alameda, CA, USA
>
>


-- 
Dimitri Liakhovitski
gfk.com <http://marketfusionanalytics.com/>

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