Good idea. I'll give it a try. Thanks!

On Thu, Dec 1, 2011 at 6:18 AM, John Fox <j...@mcmaster.ca> wrote:

> Dear Dustin,
>
> > -----Original Message-----
> > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> > project.org] On Behalf Of Dustin Fife
> > Sent: November-30-11 9:51 PM
> > To: r-help@r-project.org
> > Subject: [R] FIML with missing data in sem package
> >
> > Is there a way to use full information maximum likelihood (FIML) to
> > estimate missing data in the sem package? For example, suppose I have a
> > dataset with complete information on X1-X3, but missing data (MAR) on
> > X4.
> > Is there a way to use FIML in this case? I know lavaan and openmx allow
>
> No, the sem package doesn't handle missing data. You could, however, use
> another package, such as mice, for multiple imputation of the missing data.
>
> Best,
>  John
>
> --------------------------------
> John Fox
> Senator William McMaster
>  Professor of Social Statistics
> Department of Sociology
> McMaster University
> Hamilton, Ontario, Canada
> http://socserv.mcmaster.ca/jfox
>
>
> > you to do it, but I couldn't find anything in the documentation for the
> > sem package. Thanks!
> >
> > --
> > Dustin Fife
> > Graduate Student
> > Quantitative Psychology
> > University of Oklahoma
> >
> >       [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > 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.
>
>


-- 
Dustin Fife
Graduate Student
Quantitative Psychology
University of Oklahoma

        [[alternative HTML version deleted]]

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