Hello there,
Is it possible to do a logistic regression with R while 1) using the
full-information maximum likelihood (FIML) for treating missing values, and
2) having a complex sample design (Cluster, Weight, Stratum).
I looked at Lavaan, but, if I'm correct, it doesn't do FIML when using
categorical variables. If I'm right, OpenMx could do FIML, but it does not
take complex sample design into account.
Any thought?
Thank you!
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