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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