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]]
______________________________________________
[email protected] 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.