ustats: R Interface to Python Tools for Computing Higher-Order U-Statistics

Provides an R interface to the Python package 'u-stats' https://pypi.org/project/u-stats/ for efficient computation of higher-order U-statistics using Einstein summation notation, implementing the methods of Chen, Zhang, and Liu (2025) doi:10.48550/arXiv.2508.12627 . The package automatically converts R objects to 'NumPy' or 'PyTorch' tensors via 'reticulate' and supports GPU acceleration when 'PyTorch' with 'CUDA' is available. Python dependencies are declared via 'reticulate' and can be installed automatically on first use. Designed for large-scale statistical estimation where numerical stability and performance are critical.

See also

Useful links:

• https://cxy0714.github.io/U-Statistics-R/

• https://github.com/cxy0714/U-Statistics-R

• https://pypi.org/project/u-stats/

• Report bugs at https://github.com/cxy0714/U-Statistics-R/issues

Author

Maintainer: Xingyu Chen xingyuchen0714@sjtu.edu.cn

Authors:

• Ruiqi Zhang zrq1706@outlook.com

• Lin Liu linliu@sjtu.edu.cn