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Missing data and Imputation

6 messages · Frank E Harrell Jr, A.J. Rossini, Chuck Cleland +2 more

#
Hi Folks,

I'm currently looking at missing data/imputation
methods (including multiple imputation).

S-Plus has a "missing data library".

What similar resources are available within R?

Or does one roll one's own?

Best wishes to all,
Ted.

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Date: 08-Apr-02                                       Time: 17:23:32
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#
Look at transcan in the Hmisc package, or the new aregImpute which currently is under construction.  There's also MICE, which has very good performance except possibly for speed.  See
http://hesweb1.med.virginia.edu/biostat/rms

Frank Harrell

On Mon, 08 Apr 2002 17:23:32 -0000 (BST)
Ted.Harding at nessie.mcc.ac.uk wrote:

            

  
    
#
ted> Hi Folks,
    ted> I'm currently looking at missing data/imputation
    ted> methods (including multiple imputation).

    ted> S-Plus has a "missing data library".

    ted> What similar resources are available within R?

Joe Shafer's packages (cat, norm, mix), which may form the basis for
S-Plus'  library (I don't remember this, any more) are available.  

A general framework would be nice for creating and recreating imputed
data sets, but in general, it isn't hard to roll your own.

best,
-tony
#
Ted Harding wrote:
Ted:
  If you are using Unix/Linux, 

http://web.inter.nl.net/users/S.van.Buuren/mi/docs/miceR.zip

Hope this helps,

Chuck Cleland
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#
On Mon April 8 2002 17:58, A.J. Rossini wrote:
> >>>>> "ted" == Ted Harding <Ted> writes:
   >
   >     ted> Hi Folks,
   >     ted> I'm currently looking at missing data/imputation
   >     ted> methods (including multiple imputation).
   >
   >     ted> S-Plus has a "missing data library".
   >
   >     ted> What similar resources are available within R?
   >
   > Joe Shafer's packages (cat, norm, mix), which may form the basis for
   > S-Plus'  library (I don't remember this, any more) are available.

In particular norm is available at

http://cran.r-project.org/src/contrib/norm_1.0-7.tar.gz

Windows version might also be available.

Alvaro Novo
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2 days later
#
Thanks to all who gave very useful replies to my query.

Best wishes,
Ted.
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E-Mail: (Ted Harding) <Ted.Harding at nessie.mcc.ac.uk>
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Date: 11-Apr-02                                       Time: 20:55:24
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