You should be able to pass a weights argument through fit.mult.impute to ols. I assume that weights are with respect to variables that you, for some reason, do not want to have as predictors. Otherwise you are already conditioning on the weighting factors and no weights are needed. Frank
Mullah Abu Shadeque wrote > Hi all, > > While using the following package and code: > > library(rms) > library(Hmisc) > test.trans<-aregImpute( > ~ NearestWeekGestation + MaternalBMI + MomAge_Years + > WtGain + ethnicity , n.impute=10 > ,data=data.1) > > test.mod<-fit.mult.impute(BirthWeight_g ~ rcs(NearestWeekGestation,4) > + > rcs(MaternalBMI,4) + rcs(MomAge_Years,4) > + rcs(WtGain,4) + ethnicity > ,fitter=ols,xtrans=test.trans,data=data.1) > > > How > can I specify for weighted OLS here where I have a defined weight vector > w? > > I > would be highly helped and grateful to you if you kindly reply to my mail. > > With > Regards, > SADIK > [[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/Weighted-regression-in-rms-Hmisc-tp4667437p4667446.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.
