Dear All: I need some guidance in calculating a goodness-of-fit statistic for a Tobit Regression model. To develop the Tobit regression, I used the tobit() method from the AER package, which is basically a simpler interface to the survreg() method.
I've read about pseudo R2 and C-index and was wondering if there is a package that calculates this for me. Also, is there a reason to select pseudo R2 over C-Index, or viceversa? I will appreciate any suggestions. Many thanks. -- View this message in context: http://www.nabble.com/Pseudo-R2-for-Tobit-Regression-tp19014572p19014572.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
