# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ustats" in publications use:' type: software license: MIT title: 'ustats: R Interface to Python Tools for Computing Higher-Order U-Statistics' version: 0.1.5 abstract: Provides an R interface to the Python package 'u-stats' for efficient computation of higher-order U-statistics using Einstein summation notation, implementing the methods of Chen, Zhang, and Liu (2025) . 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. authors: - family-names: Chen given-names: Xingyu email: xingyuchen0714@sjtu.edu.cn - family-names: Zhang given-names: Ruiqi email: zrq1706@outlook.com - family-names: Liu given-names: Lin email: linliu@sjtu.edu.cn repository: https://cran.r-universe.dev repository-code: https://github.com/cxy0714/U-Statistics-R commit: 1c62f1267ff1c1bcf2aeb362cd0407108982a5c1 url: https://pypi.org/project/u-stats/ date-released: '2026-06-18' contact: - family-names: Chen given-names: Xingyu email: xingyuchen0714@sjtu.edu.cn