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
[[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.
