[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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