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revised case study
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jupyter/sum-to-zero/README.md

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HTML page has all necessary resources. To rebuild, add `stan-dev/quarto-config` submodule.
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Included in the GitHub repository for this notebook are several python files of helper functions.
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* utils\_html.py - format Stan summaries for this notebook.
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* utils\_dataviz.py - summarize and plot the posterior sample.
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* utils\_bym2.py - compute data inputs to the BYM2 model.
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* utils\_nyc\_map.py - munge the New York City census tract map.
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Author: Mitzi Morris
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jupyter/sum-to-zero/sum_to_zero_evaluation.html

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