This video introduces random coefficient models and cross-level interactions. This video is part of an Online Learning Resource created by NCRM. This is video 3 of 3. To see the complete resource visit www.ncrm.ac.uk...
Looks like I'm a year late and I'm still learning this material, but it appears that Multilevel Models are a special (commonly used) case of Mixed Effects Models. If this is the case, you can use statsmodels' Linear Mixed Effects Model in Python: www.statsmodels.org/stable/mixed_linear.html Here is where I found that Multilevel Models are a special case of Mixed Effects Models: stats.stackexchange.com/questions/171313/difference-between-multilevel-modelling-and-mixed-effects-models www3.nd.edu/~rwilliam/stats3/Multilevel.pdf
