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.