Package: ustats 0.1.5

Xingyu Chen

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.

Authors:Xingyu Chen [aut, cre], Ruiqi Zhang [aut], Lin Liu [aut]

ustats_0.1.5.tar.gz
ustats_0.1.5.tar.gz(r-4.7-any)ustats_0.1.5.tar.gz(r-4.6-any)
ustats_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ustats/json (API)
NEWS

# Install 'ustats' in R:
install.packages('ustats', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cxy0714/u-statistics-r/issues

On CRAN:

Conda:

2.00 score 6 scripts 3 exports 12 dependencies

Last updated from:1c62f1267f. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK119
source / vignettesOK173
linux-release-x86_64OK146
wasm-releaseOK112

Exports:check_ustats_setupsetup_ustatsustat

Dependencies:herejsonlitelatticeMatrixpngrappdirsRcppRcppTOMLreticulaterlangrprojrootwithr

Getting started with ustats

Rendered fromustats.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-18
Started: 2026-06-18