Hi,
I have been calculating sensitivity diagnostics in GLMs. I am noticing that
the dfbeta() and influence() functions in base R are inaccurate for
non-Gaussian GLMs. Even though the help says that the DFBETAs can be
inaccurate for GLMs, the accuracy can be substantially improved.
I was thinking of writing this up along with a proper fix to R Journal but then
started wondering whether this is a well-known issue and it has been addressed
in other packages.
Has the inaccuracy of DFBETA been addressed already?
Thank you,
Ravi
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