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I'm trying out a linear mixed effect from R and converted it into python, but both give different results. Do I convert it correctly? My R code: 

lmer(A~B * C * D * E + (1 + B| F) , data=df,REML=FALSE)

* is the interaction between predictor. My python code: 

smf.mixedlm('A ~ B * C * D * E', data=df,re_formula='B', group='F').fit(reml=False)
Heikki
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fardy013
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  • This question is somewhat related: https://stackoverflow.com/questions/47502398/python-statsmodels-mixedlm-mixed-linear-model-random-effects?r – Heikki Apr 15 '19 at 07:18

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