Dear all,
I have data that contain more than 30 variables and 600 observations,
it?s a longitudinal data,data contains a lot of non normal data (despite
trying to do some transformation i hav still nonnormal variables )
i have a lot of missing data, i want to impute these missing data ,
i wonder if There is some specifications and some manner to impute missing
data for a data where we have longitudinal data
After some resarch i found AMELIA II package, and the funcion
aregImpute(Hmisc)
My question what is the the package the more switable for this type of
data
Best wishes
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