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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "cusna" in publications use:'
type: software
license: MIT
title: 'cusna: Native GPU-Accelerated Simulation and Estimation of Network Models'
version: 0.1.0
abstract: '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.'
authors:
- family-names: Maltsev
  given-names: Artem
  email: MaltsevSNA@proton.me
repository: https://cran.r-universe.dev
repository-code: https://github.com/artemmaltsev74-techcom/cusna
commit: 983006b4004a32670a58cd41919be2a7baf41b7d
url: https://github.com/artemmaltsev74-techcom/cusna
date-released: '2026-07-15'
contact:
- family-names: Maltsev
  given-names: Artem
  email: MaltsevSNA@proton.me