The aregImpute function in the Hmisc package can do this through predictive
mean matching and canonical variates (Fisher's optimum scoring algorithm).
Frank
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Frank Harrell
Department of Biostatistics, Vanderbilt University
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I am looking for an R function that will run multiple imputation (perhaps fully
conditional imputation, MICE, or sequential generalized regression) for non-MVN
data, specifically nominal data. My dependent variable is dichotomous, all my
predictors are nominal. I have a total of 4,500 subjects,
There are a couple of packages that do MI, including MI for nominal
data. The most recent of these is mi, but I believe mice might do
it as well. Both are available on the CRAN, and both have useful
articles that teach you how to use them. The citations for these
articles can be found
Thank you!
John
John David Sorkin M.D., Ph.D.
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call
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