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  Replication dataset for the benchmark and diagnostic analyses in
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  **Goldstein, Jerzak, Kamat & Zhu (2025), _“fastrerandomize: Fast Rerandomization Using Accelerated Computing”_.**
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- This repository hosts the aggregated simulation and benchmark results produced by the scripts:
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- - `FastSRR_VaryNAndD.R` (simulation & benchmarking)
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- - `FastRR_PlotFigs.R` (aggregation & plotting)
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- from the accompanying software repository for the `fastrerandomize` R package.
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  ---
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  ## Project & Paper Links
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  ```
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- If you refer specifically to this Hugging Face dataset (e.g., for meta-analysis or benchmarking), you may also add a line such as:
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- > “We use the `rerandomization-benchmarks` dataset (Hugging Face) accompanying Goldstein et al. (2025).”
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- ## ⚖️ License & Terms of Use
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- * The **code** in the associated repository is licensed under **GPL-3.0**.
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- * The **data** in this dataset are simulation outputs derived from that code and are provided for **research and educational use**.
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- Please open an issue in the GitHub repository or contact the corresponding author if you have questions about reuse in other contexts.
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  ---
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  ## Contact
 
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  Replication dataset for the benchmark and diagnostic analyses in
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  **Goldstein, Jerzak, Kamat & Zhu (2025), _“fastrerandomize: Fast Rerandomization Using Accelerated Computing”_.**
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  ---
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  ## Project & Paper Links
 
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  }
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  ```
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  ---
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  ## Contact