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jupyter/sum-to-zero/README.md

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Notebooks to demonstrate correctness and efficiency of constrained parameter type `sum_to_zero_vector`,
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introduced in Stan 2.36.
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Case study and jupyter notebook which demonstrate the correctness and efficiency of the
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`sum_to_zero_vector` constrained parameter type, introduced in Stan 2.36.
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HTML page has all necessary resources. To rebuild, add `stan-dev/quarto-config` submodule.
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- Case study `sum_to_zero_evaluation.qmd` demonstrates use of the `sum_to_zero_vector` for 2 models.
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- Jupyter notebook `sum_to_zero_evalutation.ipynb` is a step-by-step explanation of the operations
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used to carry out this evaluation.
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Included in the GitHub repository for this notebook are several python files of helper functions.
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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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