This can't be done directly, but if you can output predicted values from coxme and fit an rms ols model that predicts these predicted values with an R^2 of 1.0 you can use nomogram() on the ols fit to get what you want. Frank
george boul wrote > Dear R-users, > I am a novice R-user with some experience in using the RMS package for > taking nomograms after various survival models. > This time, I am trying to plot a nomogram after a Random Effects Cox, > implemented by the "coxme" package. My questions are: > 1. Is it possible to take a nomogram directly after the coxme survival > function? > 2. If not is there a way to take the linear predictor results and plug > them into the RMS cox model and get the nomogram I want? > Any instructions/suggestions would be highly appreciable? > Thank you in advance > George > > Dr. George Bouliotis > Research Fellow in BiostatisticsMRC-MHTMR (Midland Hub for Trials > Methodology Research) University of BirminghamPublic Health > BuildingBirmingham B115 2TTUnited Kingdom > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@ > 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. ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/Nomogram-after-Cox-Random-Effect-frailty-model-tp4658544p4658545.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.