R help - Dec 2011 - 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 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

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Dear Dustin,
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Dustin Fife
> Sent: November-30-11 9:51 PM
> To: r-help at 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 at 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.

On 12/01/2011 07:18 AM, John Fox wrote:
> >  To:r-help at r-project.org
> >  Subject: [R] FIML with missing data in sem package
> >  
You should check out the OpenMx R package. Just search for OpenMx and 
SEM. You can download from the web site. It does FIML and is an 
excellent SEM package.

Rick B .

>
> 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

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