cusna
Native GPU-Accelerated Simulation and Estimation of Network Models
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | cusna_0.1.0.tar.gz |
361.5 KiB |
0.1.0 |
rolling linux/noble R-4.5 | cusna_0.1.0.tar.gz |
364.8 KiB |
0.1.0 |
rolling source/ R- | cusna_0.1.0.tar.gz |
326.4 KiB |
0.1.0 |
latest linux/jammy R-4.5 | cusna_0.1.0.tar.gz |
361.5 KiB |
0.1.0 |
latest linux/noble R-4.5 | cusna_0.1.0.tar.gz |
364.8 KiB |
0.1.0 |
latest source/ R- | cusna_0.1.0.tar.gz |
326.4 KiB |
0.1.0 |
2026-04-23 source/ R- | cusna_0.1.0.tar.gz |
0 B |