cusna
0.1.0Native GPU-Accelerated Simulation and Estimation of Network Models
Overview
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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-165 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 44%
- Documented parameters
- 87%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Repository practices
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.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- 0.1.0Latest2026-07-16 · current release
- RR 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
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