[R] Missing data and Imputation

Frank E Harrell Jr fharrell at virginia.edu
Mon Apr 8 19:58:09 CEST 2002


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:

> 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.
> 
> --------------------------------------------------------------------
> E-Mail: (Ted Harding) <Ted.Harding at nessie.mcc.ac.uk>
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> Date: 08-Apr-02                                       Time: 17:23:32
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-- 
Frank E Harrell Jr              Prof. of Biostatistics & Statistics
Div. of Biostatistics & Epidem. Dept. of Health Evaluation Sciences
U. Virginia School of Medicine  http://hesweb1.med.virginia.edu/biostat
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