From: A.J. Rossini (rossini@blindglobe.net)
Date: Tue 09 Apr 2002 - 03:58:20 EST
Message-id: <87zo0e3web.fsf@jeeves.blindglobe.net>
>>>>> "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@u.washington.edu FHCRC/SCHARP/HIV Vaccine Trials Net rossini@scharp.org -------------- http://software.biostat.washington.edu/ ---------------- FHCRC: M-W: 206-667-7025 (fax=4812)|Voicemail is pretty sketchy/use Email UW: Th: 206-543-1044 (fax=3286)|Change last 4 digits of phone to FAX (my friday location is usually completely unpredictable.)-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request@stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
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