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cusna

0.1.0

Native GPU-Accelerated Simulation and Estimation of Network Models

0packages depend
256downloads / year
60.3%test coverage
13/13checks pass

Overview

About
Maintained by Artem MaltsevFirst published 2026-07-161 releasesCRAN page ↗GitHub ↗

A self-contained native engine (a C interface over 'CUDA' kernels and C++ host logic) for stochastic actor-oriented models (the model family of 'RSiena'), exponential random graph models (cross-sectional, temporal, and separable temporal), and models for binary actor attributes, callable from R without a Python runtime. Modelled on the 'torch' package: the CRAN build is CPU-only from source; the GPU path is compiled from source when a 'CUDA' toolkit is detected at configure time. The data preparation, host statistics ('RSiena' Appendix B conventions), and moment targets are validated bit-for-bit against the reference implementation and reproduce 'RSiena' targets on public datasets to machine precision; the estimators match 'RSiena', 'ergm', 'btergm', and 'tergm' on public benchmark models.

Install

Health

CRAN checks
13OK
Slowest check: 3.1 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.30
60.3%
Coverage · measured lines
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-16
    5 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 295 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
44%
Documented parameters
87%
Return-value docs
100%
References docs
0%

Downloads

256
CRAN downloads in the past year
Rank #24,352 · ~1/day · ~21/mo
Daily download trend is not available in this view yet.
18230 days
25690 days
2561 year
Compare downloads with other packages →
Also on19 r2u2 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
1Releases
5Commits
2Contributors
License MIT · 5 commits · Last activity 2026-07-06

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/artemmaltsev74-techcom/cusna on 2026-08-16.

Continuous integration (1)
GitHub Actions
Research and citation (2)
CITATION.cffZenodo
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (2)
statsutils
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-07-16 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-16
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Download size
326 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cusna")

The authors publish a CITATION.cff, so they have said how they want this cited. Run citation() and use what it gives you.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for cusna version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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