Package: ustats 0.1.5

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.zip(r-4.7)ustats_0.1.5.zip(r-4.6)ustats_0.1.5.zip(r-4.5)
ustats_0.1.5.tgz(r-4.6-any)ustats_0.1.5.tgz(r-4.5-any)
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://cxy0714.r-universe.dev', 'https://cloud.r-project.org'))

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

Pkgdown/docs site:https://cxy0714.github.io

On CRAN:

Conda:

einsumstatisticsu-statisticsustats-r

4.60 score 2 stars 6 scripts 3 exports 12 dependencies

Last updated from:cf40c189a6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK136
source / vignettesOK160
linux-release-x86_64OK138
macos-release-arm64OK175
macos-oldrel-arm64OK200
windows-develOK143
windows-releaseOK95
windows-oldrelOK80
wasm-releaseOK93

Exports:check_ustats_setupsetup_ustatsustat

Dependencies:herejsonlitelatticeMatrixpngrappdirsRcppRcppTOMLreticulaterlangrprojrootwithr

Getting started with ustats

Rendered fromustats.Rmdusingknitr::rmarkdownon Jun 19 2026.

Last update: 2026-06-19
Started: 2026-06-10