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 Birgit ----- 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@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
