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Add built-in function for local sensitivity analysis #1908

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Add built-in function for local sensitivity analysis #1908

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Commits on Dec 15, 2023

  1. Add local_sensitivity_analysis method to batchrunner

    @EwoutH
    EwoutH committed Dec 15, 2023
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  2. Add local_sensitivity_analysis function 

    This commit introduces a new function, `local_sensitivity_analysis`, to the Mesa modeling framework, enhancing the capabilities for conducting sensitivity analysis on agent-based models. This function significantly improves the flexibility and precision of parameter variation studies.

Key Features:
- The function accepts both relative and absolute ranges for parameter variations. Users can specify a common range of multipliers (for relative changes) or specific values (for absolute changes) that are applied uniformly to all numeric parameters. This allows for a more nuanced exploration of parameter impacts.
- An additional argument, `specific_ranges`, is introduced. This optional parameter lets users define custom ranges or multipliers for specific model parameters, providing even greater control over the sensitivity analysis process.
- The `ignore_parameters` argument is included, allowing users to exclude certain parameters from the analysis. This is particularly useful for non-numeric parameters or those that should remain constant.
- The function automatically handles integer parameters by rounding the varied values to the nearest integer and removing duplicates, ensuring a meaningful and efficient analysis.
- The implementation also includes a default run using the model's baseline parameters, serving as a reference point for comparing the effects of parameter variations.
- Additional keyword arguments (`**kwargs`) are seamlessly passed to the Mesa `batch_run` function, maintaining compatibility and flexibility with Mesa's batch running capabilities.
    @EwoutH
    EwoutH committed Dec 15, 2023
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