Software for fast rerandomization using accelerated computing.
- 🚀 GPU/XLA-accelerated acceptable randomization generation
- 🔢 Supports both exact enumeration and Monte Carlo sampling
- 📉 Built-in balance metrics (Hotelling's T²) and custom threshold functions
- 📈 Randomization-based inference with fiducial intervals
- 💾 Memory-efficient batched processing for large experiments
# Install from CRAN
install.packages("fastrerandomize")
# Build Python backend (requires conda)
library(fastrerandomize)
build_backend(conda_env = "fastrerandomize")Connor T. Jerzak, Rebecca Goldstein, Aniket Kamat, Fucheng Warren Zhu. FastRerandomize: An R Package for Fast Rerandomization Using Accelerated Computing. SoftwareX, 2026. [PDF]
@article{jerzak2025fastrerandomize,
title={FastRerandomize: An R Package for Fast Rerandomization Using Accelerated Computing},
author={Jerzak, Connor T. and Rebecca Goldstein and Aniket Kamat and Fucheng Warren Zhu},
journal={SoftwareX},
year={2026}
}
Package by Rebecca Goldstein, Connor Jerzak, Aniket Kamat, and Fucheng Warren Zhu