Re: [R] sample R code for multiple imputation

From: James Reilly <reilly_at_stat.auckland.ac.nz>
Date: Wed 29 Jun 2005 - 09:30:59 EST

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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Received on Wed Jun 29 09:35:42 2005

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