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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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@@ -12,6 +16,3 @@ Included in the GitHub repository for this notebook are several python files of
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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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