Package: cusna
Type: Package
Title: Native GPU-Accelerated Simulation and Estimation of Network
        Models
Version: 0.1.0
Authors@R: person("Artem", "Maltsev", email = "MaltsevSNA@proton.me",
    role = c("aut", "cre"))
Author: Artem Maltsev [aut, cre]
Maintainer: Artem Maltsev <MaltsevSNA@proton.me>
Description: 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.
License: MIT + file LICENSE
URL: https://github.com/artemmaltsev74-techcom/cusna
BugReports: https://github.com/artemmaltsev74-techcom/cusna/issues
Encoding: UTF-8
SystemRequirements: C++17; optionally a CUDA 12.x toolkit (nvcc) for
        the GPU path
LinkingTo: cpp11
Imports: stats, utils
Suggests: testthat (>= 3.0.0), jsonlite, litedown, RSiena (>= 1.4)
VignetteBuilder: litedown
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-07-15 21:43:43 UTC; root
Config/pak/sysreqs: nvidia-cuda-dev
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-15 18:10:15 UTC
RemoteUrl: https://github.com/cran/cusna
RemoteRef: HEAD
RemoteSha: 983006b4004a32670a58cd41919be2a7baf41b7d