Using mutiply imputed data in NLME

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