Hi
I've simulated multivariate longitudinal. The data is a mixture of conitnous
and categorical data. I've stored it in matrix form with the time dependent
variables as colons. Now I want to create a monote missing data pattern
starting of with MCAR-missingnes and different proportions of
missingda
Hi I'm simulating missing data patterns and I've started to get a lot of
functions in the same .R file is it possible to store al these functions in
a library like one does in C++ (i.e the .h file) and read the functions from
the main .R file
/Mauricio
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the multivariate case under th
enormal assumption. Is there something I've to think about when performing
this test on a longitudinal multivariate data set when dependencies between
the time-dependent variables are present. Any help will much appreciated.
Thanks in advance
Mauricio Malfert
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