[R] Missing data and Imputation

[Warnes, Gregory R]

There is already a (rough) R package for Shafer's 'norm' C library on CRAN,
I've mostly got a package for the 'mix' based on that set up as well.

-Greg

> -----Original Message-----
> From: rossini at blindglobe.net [mailto:rossini at blindglobe.net]
> Sent: Monday, April 08, 2002 1:58 PM
> To: Ted.Harding at nessie.mcc.ac.uk
> Cc: r-help at stat.math.ethz.ch
> Subject: Re: [R] Missing data and Imputation
> 
> 
> >>>>> "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.  
> 
> 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
> 
> -- 
> A.J. Rossini				Rsrch. Asst. Prof. of 
> Biostatistics
> U. of Washington Biostatistics		
> rossini at u.washington.edu	
> FHCRC/SCHARP/HIV Vaccine Trials Net	rossini at scharp.org
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