[R] Using mutiply imputed data in NLME

[Shige Song]

For example

Will NLME work with mitools written by Thomas Lumley?

Shige

On Mon, 28 Feb 2005 13:02:54 -0500, Doran, Harold <HDoran at air.org> wrote:
> Well, I may be missing something but why don't you call each dataframe
> from within a loop and save the results in a new data frame each time?
> 
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Shige Song
> Sent: Monday, February 28, 2005 12:18 PM
> To: R-help at stat.math.ethz.ch
> Subject: [R] Using mutiply imputed data in NLME
> 
> Dear All,
> 
> I am doing a growth modeling using NLME. I have three levels in my
> data: observation, individual, household. About half of my total sample
> have missing values in my household-level covariates. Under this
> situation, the best way to go is probably to multiply impute the data
> (for, say, 5 times), estimate the same model separately on each model
> using LME function, and merge the results. My question is: given the
> multiply imputed data sets have already been generated, is there a
> simple way to automate the process of estimating the mixed model and
> merging the results? HLM has similar features...
> 
> Thanks!
> 
> Best,
> Shige
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide!
> http://www.R-project.org/posting-guide.html
> 
>