[R] missing data imputation - simulation

From: Birgitle <birgit.lemcke_at_systbot.uzh.ch>
Date: Wed, 04 Jun 2008 02:32:30 -0700 (PDT)

My dataset contains missing data and I would like to do something like an EM algorithm or a Markov Chain Monte Carlo approach to get rid of the missing data.

Is there a function for imputation or simulation of missing data apart from those in the randomForest library?

Thanks in advance


The art of living is more like wrestling than dancing. (Marcus Aurelius)
View this message in context: http://www.nabble.com/missing-data-imputation---simulation-tp17642736p17642736.html
Sent from the R help mailing list archive at Nabble.com.

R-help_at_r-project.org mailing list
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Received on Wed 04 Jun 2008 - 10:24:26 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Wed 04 Jun 2008 - 12:30:41 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive