R Interface to Python Tools for Computing Higher-Order U-Statistics R package ustats version 0.1.5 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. Software Imports: reticulate (>= 1.41) Suggests: knitr, rmarkdown, rstudioapi, testthat (>= 3.0.0) Xingyu Chen <xingyuchen0714@sjtu.edu.cn> Comprehensive R Archive Network (CRAN) Xingyu Chen [aut, cre], Ruiqi Zhang [aut], Lin Liu [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=ustats/LICENSE) 2026-06-18 application/tgz https://CRAN.R-project.org/package=ustats doi:10.32614/CRAN.package.ustats en-US