bug in glm()? (PR#3223)

Could you please supply an example?

1) There is nothing we can reproduce here (see the FAQ on BUGS), and

2) we don't take SAS as the gold standard, and

3) R does have glm.control() to control how convergence is determined, and
you do sometimes need to work with it.

There are models/datasets which do not have an MLE within the parameter 
set: for those R does converge to a value near the boundary.  But R
*should* converge then.  There are also situations in which R will 
converge (correctly) but simple IRLS will not.

Full_Name: Bonnie 
Version: 1.6.1
OS: Windows
Submission from: (NULL) (160.129.25.106)


glm() seems to converge, even when it shouldn't.  I am trying to fit a model
where $converge=FALSE and I am fitting models that do not converge in SAS,
but they seem to converge in R ...

Brian D. Ripley,                  ripley@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

glm() seems to converge, even when it shouldn't.  I am trying to fit a model
where $converge=FALSE and I am fitting models that do not converge in SAS,
but they seem to converge in R ...

While it wouldn't be the first time there was a bug in glm, it's hard to
tell from your report whether the problem is with R, SAS, or your
expectations.

Can you give an example?

	-thomas