>
> What is your goal?  I have used and like mice pretty well, but using
> mice + sem to try to address missingness seems like more work than
> using FIML in OpenMx or lavaan to try to address it.  Is there a
> reason you want to use the sem package or a reason you do not want to
> use the others?
>
> I tried lavaan and couldn't get it to work. I noticed it was in beta so I
figured it wasn't a good idea to use for simulations I intend to publish
(especially when I can't get them to work properly). Either way, whether I
use OpenMX or lavaan, it will require me to learn a new syntax, and I guess
I'm just lazy. I'm comfortable with sem.


>
> On Thu, Dec 1, 2011 at 6:27 AM, Dustin Fife <fife.dustin@gmail.com> wrote:
> > Good idea. I'll give it a try. Thanks!
> >
> > On Thu, Dec 1, 2011 at 6:18 AM, John Fox <jfox@mcmaster.ca> wrote:
> >
> >> Dear Dustin,
> >>
> >> > -----Original Message-----
> >> > From: r-help-bounces@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]]
> >
> > ______________________________________________
> > 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.
>
>
>
> --
> Joshua Wiley
> Ph.D. Student, Health Psychology
> Programmer Analyst II, ATS Statistical Consulting Group
> University of California, Los Angeles
> https://joshuawiley.com/
>



-- 
Dustin Fife
Graduate Student
Quantitative Psychology
University of Oklahoma

	[[alternative HTML version deleted]]

