[Rd] bug in glm()? (PR#3223)

[Prof Brian Ripley]

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.

On Tue, 10 Jun 2003 bonnie.lafleur at vanderbilt.edu wrote:

> 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 at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
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