Hi all,

I am reading the MASS book but it doesn't give examples about the diagnosis
and model checking for rlm...

My data is highly non-Gaussian so I am using rlm instead of lm.

My questions are:

0. Are goodness-of-fit and model-checking using rlm completely the same as
usual regression?

   1.

   Please give me some pointers about how to do goodness-of-fit and
   residual diagnosis for rlm in R? Any good tutorials/examples, etc?
   2.

   How to do the residual diagnosis etc. when regression weights are used?
   Still the same?

Thanks a lot!

        [[alternative HTML version deleted]]

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to