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-[**Methodology**](https://human-nature-lab.github.io/TSCSMethods.jl/methodology/): Statistical methods and assumptions
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-[**API Reference**](https://human-nature-lab.github.io/TSCSMethods.jl/api/): Complete function documentation
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-[**Validation**](https://human-nature-lab.github.io/TSCSMethods.jl/validation/): Test suite and calibration gates
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## Examples
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See the [Jupyter notebook vignette](./vignette/vignette.ipynb) for a complete analysis example with simulated data.
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For a high-level summary of validation tests, see [VALIDATION_TESTS.md](./VALIDATION_TESTS.md).
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## Method Overview
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The package implements the extended matching approach developed in Feltham et al. (2023), building on Imai et al. (2021), for time-series cross-sectional data:
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## System Requirements
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-**Julia**: 1.9 or later
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-**Memory**: 8GB+ recommended for large datasets
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-**Julia**: 1.10 or later
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-**Memory**: 8GB+ recommended (larger for larger datasets)
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-**OS**: Windows, macOS, or Linux
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The package automatically installs all required dependencies.
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- Imai, K., Kim, I. S., & Wang, E. H. (2021). Matching Methods for Causal Inference with Time-Series Cross-Sectional Data. *American Journal of Political Science*.
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- Feltham, E., Forastiere, L., Alexander, M., & Christakis, N. A. (2023). Mass gatherings for political expression had no discernible association with the local course of the COVID-19 pandemic in the USA in 2020 and 2021. *Nature Human Behaviour*.
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- Kim, I. S., Ruah, A., Wang, E., & Imai, K. (2020). Insongkim/PanelMatch [R, C]. https://github.com/insongkim/PanelMatch (Original work published 2018)
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- Kim, I. S., Ruah, A., Wang, E., & Imai, K. (2020). Insongkim/PanelMatch [R, C]. https://github.com/insongkim/PanelMatch (Original work published 2018)
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