There is also the mice package at http://www.multiple-imputation.com/
which uses mcmc but is different to Schafer's packages.
Simon.
At 09:30 AM 29/06/2005, James Reilly wrote:
Schafer's functions have been ported to R in the packages norm, cat, mix
and pan. Their documentation includes sample code illustrating how to
use them.
The aregImpute function in Hmisc provides a range of other imputation
models, if you're not set on using MCMC. The mitools package might also
be useful for dealing with the imputed values.
Hope this helps,
James
On 29/06/2005 9:32 a.m., David Hwang wrote:
Hi,
I have a big dataset which has many missing values and want to implement
Multiple imputation via Monte carlo markov chain by following J Schafer's
Analysis of incomplete multivariate data. I don't know where to begin
and is looking for a sample R code that implements multiple imputation
with EM, MCMC, etc
Any help / suggestion will be greatly appreciated.
David
Simon Blomberg, B.Sc.(Hons.), Ph.D, M.App.Stat.
Centre for Resource and Environmental Studies
The Australian National University
Canberra ACT 0200
Australia
T: +61 2 6125 7800 email: Simon.Blomberg_at_anu.edu.au
F: +61 2 6125 0757
CRICOS Provider # 00120C
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
