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.
| Version: | 0.1.0 |
| Imports: | stats, utils |
| LinkingTo: | cpp11 |
| Suggests: | testthat (≥ 3.0.0), jsonlite, litedown, RSiena (≥ 1.4) |
| Published: | 2026-07-15 |
| DOI: | 10.32614/CRAN.package.cusna (may not be active yet) |
| 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; optionally a CUDA 12.x toolkit (nvcc) for the GPU path |
| 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_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: cusna_0.1.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): cusna_0.1.0.tgz, r-oldrel (arm64): cusna_0.1.0.tgz, r-release (x86_64): cusna_0.1.0.tgz, r-oldrel (x86_64): cusna_0.1.0.tgz |
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