Hi All, I am trying to model a set of data that's a little bit complicated. Let's say a person can live 365 more days from time t=0. I have data on 100 people, but I only know who died between day 0 and day 30. Everyone else would've died between days 31 and day 365.
Is there any way to fit a distribution to this set of data? I would try 'fitdist', but that would just get me parameters that would give me a mean somewhere between 0 and 30, which is not accurate. Is there any way? Would it help if I had the model parameters for a complete set of data from a few years ago? Any help would be great! Thanks, Tim [[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.