: [R] Checking the assumptions for a proper GLM model
>
> So what I'm looking for is readily available tools/packages that could
> produce some of the following:
>
> 3.6 Summary of Useful Commands (STATA: Source:
> http://www.ats.ucla.edu/stat/Stata/webbooks/logistic/chapt
Well, yes and no. Obviously I was not asking for the complete recap of
a all the theory on the subject. My main concern is finding readily
available CRAN functions and packages that would help me in the
process. I've found the UCLA site to be very informative and spent a
lot of time ther the last c
At one time the "answer" would have been to buy a copy of Venables and
Ripley's "Modern Applied Statistics with S" (and R), and that would
still be a sensible strategy. There are now quite a few other R-
centric texts that have been published in the last few years. Search
Amazon if needed. Y
So what I'm looking for is readily available tools/packages that could
produce some of the following:
3.6 Summary of Useful Commands (STATA: Source:
http://www.ats.ucla.edu/stat/Stata/webbooks/logistic/chapter3/statalog3.htm)
* linktest--performs a link test for model specification, in our
ca
Hello,
Are there any packages/functions available for testing the assumptions
underlying assumptions for a good GLM model? Like linktest in STATA
and smilar. If not, could somebody please describe their work process
when they check the validity of a logit/probit model?
Regards,
Jay
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