Dear Raja the technical problem is that the function crrstep does not communicate the selected variables in a proper way. the function pec::selectFGR uses rownames(crrstep.fit$coefficients). the other problem is that I don't like and never use backward elemination -- so, I am not motivated to fix this. However, I copy this email to Rob van Kruijsdijk who wrote the function ... maybe he wants to fix. you can always fix this yourself by copying the functions selectFGR, predictEventProb.selectFGR.
Best Thomas "Raja, Dr. Edwin Amalraj" <amalraj.r...@abdn.ac.uk> writes: > Dear All, > > I would like to use R function 'selectFGR' of fine gray model in > competing risks model. I used the 'Melanoma' data in 'riskRegression' > package. Some of the variables are factor. I get solution for full > model but not in variable selection model. Any advice how to use > factor variable in 'selectFGR' function. The following R code is > produced below for reproducibility. > > library(riskRegression) > library(pec) > dat <-data(Melanoma,package="riskRegression") > Melanoma$logthick <- log(Melanoma$thick) > f1 <- Hist(time,status)~age+sex+epicel+ulcer > df1 <-FGR(f1,cause=1, data=Melanoma) > df1 > df <-selectFGR(f1, data=Melanoma, rule ="BIC", direction="backward") > > Thanks in advice for your suggestion. Is there any alternative solution ? > > Regards > Amalraj raja > > > The University of Aberdeen is a charity registered in Scotland, No SC013683. > Tha Oilthigh Obar Dheathain na charthannas clàraichte ann an Alba, Àir. > SC013683. -- 7LL-4 No one is the reason for your happiness except you yourself. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
