The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
A self-contained native engine (a C interface over 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. The CRAN build is CPU-only (C++17, multi-threaded with 'OpenMP'); a 'CUDA' backend implements the same interface and is built separately from source. 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. The method-of-moments estimator returns standard fit objects with the simulated networks on request, and the simulator also plugs into the unmodified 'RSiena' estimator.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, utils |
| LinkingTo: | cpp11 |
| Suggests: | testthat (≥ 3.0.0), jsonlite, litedown, RSiena (≥ 1.4) |
| Published: | 2026-10-29 |
| DOI: | 10.32614/CRAN.package.cusna |
| Author: | Artem Maltsev [aut, cre] |
| Maintainer: | Artem Maltsev <MaltsevSNA at proton.me> |
| BugReports: | https://github.com/artemmaltsev74-techcom/cusna/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/artemmaltsev74-techcom/cusna |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17 |
| Materials: | README, NEWS |
| CRAN checks: | cusna results |
| Reference manual: | cusna.html , cusna.pdf |
| Vignettes: |
Introduction to cusna (source, R code) Accelerating siena07() with cusna (source, R code) |
| Package source: | cusna_0.1.1.tar.gz |
| Windows binaries: | r-devel: cusna_0.1.0.zip, r-release: cusna_0.1.1.zip, r-oldrel: cusna_0.1.1.zip |
| macOS binaries: | r-release (arm64): cusna_0.1.1.tgz, r-oldrel (arm64): cusna_0.1.1.tgz, r-release (x86_64): cusna_0.1.1.tgz, r-oldrel (x86_64): cusna_0.1.1.tgz |
| Old sources: | cusna archive |
Please use the canonical form https://CRAN.R-project.org/package=cusna to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.