Re: [R] Multiple imputation for nominal data

The aregImpute function in the Hmisc package can do this through predictive mean matching and canonical variates (Fisher's optimum scoring algorithm). Frank - Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/Mu

Re: [R] Multiple imputation for nominal data

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

Re: [R] Multiple imputation for nominal data

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 foun

[R] Multiple imputation for nominal data

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,