FIML with missing data in sem package
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]]
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