Dear colegues I am trying to analyze growth data on mice. To do this I attempted to fit logistic curve using nlme package. However, the dataset I use is large (in total ca 20 000 measures on ca 3 000 individuals) with relatively complicated structure (several explanatory variables with interactions + random effect where individual offspring are nested within particular litters are nested within particular parental pairs). Although I had no problems to fit models, where the complexity of random effect was reduce (which is conceptually incorrect), the fitting procedure of the full model did not reach the 1 iteration after several hours. Do you have any idea how to solve this problem?
Thank you very much for your advice Best regards Jakub Kreisinger ______________________________________________ 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.
