Dear R-help, I am trying to a estimate a correlated frailty model. My dataset is made up of 40000 observations. I would like to know if it is too big or I have done some mistakes in the following code.
group<-paste(usa$id,usa$mob) mixed.logn<-coxme(Surv(yearspan)~ south+mod, data=usa,random= ~ 1|group) Errore in matrix(0, dd[1], dd[2], dimnames = [EMAIL PROTECTED]) : non รจ possibile allocare un vettore di lunghezza 1600000000 (It is not possible to use a vector of leght 1600000000) Inoltre(Also): Warning message: The initial fit took 6 steps, which is bigger than the inner.iter paramter. Consider increasing the latter in: coxme.fit(X, Y, strats, offset, init, control, weights = weights, Thank you Silvia ______________________________________________ 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.
