When applying dffits to a GLM, you are presumably intending to apply it to
the working regression. However, that is not what lm.influence has long
been set up to do (it uses the deviance residuals).
In your example the influence is high and so the approximations of
applying the standard formul
Hi all
I'm getting a NaN returned on using dffits, as explained
below. To me, there seems no obvious (or non-obvious reason
for that matter) reason why a NaN appears.
Before I start digging further, can anyone see why dffits
might be failing? Is there a problem with the data?
Consider:
#
