> > 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.dus...@gmail.com> wrote: > > 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]] > > > > ______________________________________________ > > 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]] ______________________________________________ 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.
