High-Performance Open-Source Archive
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.
| Version: | 0.1.5 |
| Imports: | reticulate (≥ 1.41) |
| Suggests: | knitr, rmarkdown, rstudioapi, testthat (≥ 3.0.0) |
| Published: | 2026-06-18 |
| DOI: | 10.32614/CRAN.package.ustats |
| Author: | Xingyu Chen [aut, cre], Ruiqi Zhang [aut], Lin Liu [aut] |
| Maintainer: | Xingyu Chen <xingyuchen0714 at sjtu.edu.cn> |
| BugReports: | https://github.com/cxy0714/U-Statistics-R/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/cxy0714/U-Statistics-R, https://pypi.org/project/u-stats/ |
| NeedsCompilation: | no |
| SystemRequirements: | Python (>= 3.11); Python packages: u-stats, numpy, torch (installed automatically on first use, or via setup_ustats()) |
| Language: | en-US |
| Materials: | NEWS |
| CRAN checks: | ustats results |
| Reference manual: | ustats.html , ustats.pdf |
| Vignettes: |
Getting started with ustats (source, R code) |
| Package source: | ustats_0.1.5.tar.gz |
| Windows binaries: | r-devel: ustats_0.1.5.zip, r-release: ustats_0.1.5.zip, r-oldrel: ustats_0.1.5.zip |
| macOS binaries: | r-release (arm64): ustats_0.1.5.tgz, r-oldrel (arm64): ustats_0.1.5.tgz, r-release (x86_64): ustats_0.1.5.tgz, r-oldrel (x86_64): ustats_0.1.5.tgz |
| Reverse imports: | HOIF |
Please use the canonical form https://CRAN.R-project.org/package=ustats to link to this page.
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