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In published work that uses nimbleHMC, please cite the R package for the specific version used, and also the Journal of Computational and Graphical Statistics article. To help us track usage to justify funding support, please include the DOI in the citation.

Turek D, de Valpine P, Paciorek C (2024). nimbleHMC: Hamiltonian Monte Carlo and Other Gradient-Based MCMC Sampling Algorithms for 'nimble'. R package version 0.2.2.

de Valpine P, Turek D, Paciorek C, Anderson-Bergman C, Temple Lang D, Bodik R (2017). “Programming with models: writing statistical algorithms for general model structures with NIMBLE.” Journal of Computational and Graphical Statistics, 26, 403-413. doi:10.1080/10618600.2016.1172487.

Corresponding BibTeX entries:

  @Manual{,
    title = {nimbleHMC: Hamiltonian Monte Carlo and Other
      Gradient-Based MCMC Sampling Algorithms for 'nimble'},
    author = {Daniel Turek and Perry {de Valpine} and Christopher
      Paciorek},
    year = {2024},
    version = {0.2.2},
    note = {{R} package version 0.2.2},
  }
  @Article{,
    title = {Programming with models: writing statistical algorithms
      for general model structures with {NIMBLE}},
    journal = {Journal of Computational and Graphical Statistics},
    volume = {26},
    issue = {2},
    pages = {403-413},
    year = {2017},
    author = {Perry {de Valpine} and Daniel Turek and Christopher
      Paciorek and Cliff Anderson-Bergman and Duncan {Temple Lang} and
      Ras Bodik},
    doi = {10.1080/10618600.2016.1172487},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.