[R] sample R code for multiple imputation

James Reilly reilly at stat.auckland.ac.nz
Wed Jun 29 01:30:59 CEST 2005


Schafer's functions have been ported to R in the packages norm, cat, mix
and pan. Their documentation includes sample code illustrating how to
use them.

The aregImpute function in Hmisc provides a range of other imputation
models, if you're not set on using MCMC. The mitools package might also
be useful for dealing with the imputed values.

Hope this helps,
James

On 29/06/2005 9:32 a.m., David Hwang wrote:
> Hi,
> 
> I have a big dataset which has many missing values and want to implement 
> Multiple imputation via Monte carlo markov chain by following J Schafer's 
> "Analysis of incomplete multivariate data". I don't know where to begin 
> and is looking for a sample R code that implements multiple imputation 
> with EM, MCMC, etc....
> 
> Any help / suggestion will be greatly appreciated.
> 
> David
> 
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-- 
James Reilly
Department of Statistics, University of Auckland
Private Bag 92019, Auckland, New Zealand




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