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/Multiple-imputation-for-nominal-data-tp3024276p3025181.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.
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 found at the bottom of the help page that appears by
typing
?mi
OR for mice
?mice
mi is the newer package and has some useful control features, but as
it is newer it still is under development.
Andrew Miles
On Nov 2, 2010, at 3:38 PM, John Sorkin wrote:
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, 1/2 of whom are missing the main
independent variables. I would appreciate any suggestions that the
users of the listserver might have.
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 phone number above prior to faxing)
Confidentiality Statement:
This email message, including any attachments, is for th...{{dropped:
6}}
__
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
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.
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 phone number above prior to faxing) Andrew
Miles rstuff.mi...@gmail.com 11/2/2010 3:59 PM
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 at the bottom of the help page that appears by
typing
?mi
OR for mice
?mice
mi is the newer package and has some useful control features, but as
it is newer it still is under development.
Andrew Miles
On Nov 2, 2010, at 3:38 PM, John Sorkin wrote:
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, 1/2 of whom are missing the main
independent variables. I would appreciate any suggestions that the
users of the listserver might have.
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 phone number above prior to faxing)
Confidentiality Statement:
This email message, including any attachments, is for ...{{dropped:18}}
__
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.
