On 12/01/2011 05:25 PM, Dustin Fife wrote:
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 y
t; >> 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-proje
mber-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
> > datas
On 12/01/2011 07:18 AM, John Fox wrote:
> To:r-help@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.
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
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,
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