influence.measures for glm

From the mail archives, it is not clear for me in what extend
influence.measures is  correct for
a glm model  ( family=binomial, for my problem).  I'm aware of the
existence of
glm.diag and glm.diag.plot, but is there somewhere a function like
influence.measures for a glm model , from which it is very easy to get a
list
of the influential observations.

I think all the influence measures for lm also work for glm. Certainly
lm.influence(), which underlies them, does.  Most of these measures are
defined for glms in terms of the weighted linear model fit by the last
iteration of IWLS.

	-thomas

Thomas Lumley			Asst. Professor, Biostatistics
tlumley at u.washington.edu	University of Washington, Seattle

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