Re: [R] missing data imputation - simulation

Many thenks to both of you: Will have a look. Birgit Chuck Cleland wrote: > > On 6/4/2008 5:32 AM, Birgitle wrote: >> 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. >> >>

Re: [R] missing data imputation - simulation

Birgit, not knowing your data, I would recommend R-package "mice" or function aregImpute from R-package Hmisc as good multi-purpose tools. Regards, Ulrike -- View this message in context: http://www.nabble.com/missing-data-imputation---simulation-tp17642736p17643601.html Sent from the R help

Re: [R] missing data imputation - simulation

On 6/4/2008 5:32 AM, Birgitle wrote: 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

[R] missing data imputation - simulation

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