This is a package and demo for creating a simple ensemble model using rpy2 to fit linear mixed models and scikit-learn to do cross-validation. The data used in notebooks/ensemble_example.ipynb is available from the Global Burden of Disease Study 2017, stored in the Global Health Data Exchange here.

The ensemble modeling methodology is a simplified version of that used in the Cause of Death Ensemble Model (CODEm) for the Global Burden of Disease (GBD) Study detailed by Foreman et al 2012 here.

Note: If notebooks/ensemble_example.ipynb does not load, please use the Jupyter Notebook viewer here.