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]]
>
>
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-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
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