paper.bib

@article{BayesPostEst,
  doi       = {10.21105/joss.01722},
  url       = {https://doi.org/10.21105/joss.01722},
  year      = {2019},
  publisher = {The Open Journal},
  volume    = {4},
  number    = {42},
  pages     = {1722},
  author    = {Shana Scogin and Johannes Karreth and Andreas Beger and Rob Williams},
  title     = {BayesPostEst: An R Package to Generate Postestimation Quantities for Bayesian MCMC Estimation},
  journal   = {Journal of Open Source Software}
}

@article{coda,
  title   = {CODA: Convergence Diagnosis and Output Analysis for MCMC},
  author  = {Martyn Plummer and Nicky Best and Kate Cowles and Karen
    Vines},
  journal = {R News},
  year    = {2006},
  volume  = {6},
  number  = {1},
  pages   = {7--11},
  url     = {https://journal.r-project.org/archive/},
  pdf     = {https://www.r-project.org/doc/Rnews/Rnews_2006-1.pdf}
}

@article{devalpine2017,
  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}
}

@manual{nimble,
  title = {{NIMBLE}: {MCMC}, Particle Filtering, and Programmable
      Hierarchical Modeling},
  author = {Perry {de Valpine} and Christopher Paciorek and Daniel
      Turek and Nick Michaud and Cliff Anderson-Bergman and Fritz
      Obermeyer and Claudia {Wehrhahn Cortes} and Abel Rodrìguez and
      Duncan {Temple Lang} and Sally Paganin},
  url = {https://cran.r-project.org/package=nimble},
  year = {2021},
  version = {0.11.1},
  note = {{R} package version 0.11.1},
  doi = {10.5281/zenodo.1211190}
}

@article{Goudie20,
  title = {{MultiBUGS}: A parallel implementation of the {BUGS} modelling framework for faster Bayesian inference.},
  author = {Goudie, R. J. B. and Turner, R. M. and De Angelis, D. and Thomas, A.},
  year = {2020},
  journal = {Journal of Statistical Software},
  volume = {95},
  number = {7},
  doi = {10.18637/jss.v095.i07}
}

@article{MCMCvis,
  title   = {MCMCvis: Tools to visualize, manipulate, and summarize
    MCMC output},
  author  = {Casey Youngflesh},
  year    = {2018},
  journal = {Journal of Open Source Software},
  volume  = {3},
  number  = {24},
  doi     = {10.21105/joss.00640},
  pages   = {640}
}

@article{lunn2009bugs,
  title     = {The BUGS project: Evolution, critique and future directions},
  author    = {Lunn, David and Spiegelhalter, David and Thomas, Andrew and Best, Nicky},
  journal   = {Statistics in medicine},
  volume    = {28},
  number    = {25},
  pages     = {3049--3067},
  year      = {2009},
  doi       = {10.1002/sim.3680},
  publisher = {Wiley Online Library}
}

@article{lunn2000winbugs,
  title     = {WinBUGS-a Bayesian modelling framework: concepts, structure, and extensibility},
  author    = {Lunn, David J and Thomas, Andrew and Best, Nicky and Spiegelhalter, David},
  journal   = {Statistics and computing},
  volume    = {10},
  number    = {4},
  pages     = {325--337},
  year      = {2000},
  doi       = {10.1023/A:1008929526011},
  publisher = {Springer}
}

@misc{kellner21,
  author    = {Ken Kellner},
  title     = {{jagsUI}: A Wrapper Around {'rjags'} to Streamline {'JAGS'} Analyses.},
  year      = {2019},
  publisher = {CRAN},
  url       = {https://cran.r-project.org/package=jagsUI}
}

@Misc{plummer19,
  author    = {Martyn Plummer},
  title     = {{Rjags}: Bayesian graphical models using {MCMC}.},
  year      = {2019},
  publisher = {CRAN},
  url       = {https://cran.r-project.org/package=rjags}
}

@inproceedings{plummer2003jags,
  title        = {JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling},
  author       = {Plummer, Martyn and others},
  booktitle    = {Proceedings of the 3rd international workshop on distributed statistical computing},
  volume       = {124},
  number       = {125.10},
  pages        = {1--10},
  year         = {2003},
  organization = {Vienna, Austria.}
}

@article{PyMC,
  doi       = {10.7717/peerj-cs.55},
  url       = {https://doi.org/10.7717/peerj-cs.55},
  year      = {2016},
  month     = {apr},
  publisher = {{PeerJ}},
  volume    = {2},
  pages     = {e55},
  author    = {John Salvatier and Thomas V. Wiecki and Christopher Fonnesbeck},
  title     = {Probabilistic programming in Python using {PyMC}3},
  journal   = {{PeerJ} Computer Science}
}

@article{R2WinBUGS,
  title   = {R2WinBUGS: A Package for Running WinBUGS from R},
  author  = {Sibylle Sturtz and Uwe Ligges and Andrew Gelman},
  journal = {Journal of Statistical Software},
  year    = {2005},
  pages   = {1--16},
  number  = {3},
  volume  = {12},
  url     = {http://www.jstatsoft.org}
}


@Misc{Rstan,
title   = {{RStan}: the {R} interface to {Stan}},
author  = {{Stan Development Team}},
note    = {R package version 2.21.2},
year    = {2020},
url     = {http://mc-stan.org/}
}

@Misc{park21,
title   = {{CRAN} {Task} {View}: {Bayesian} {Inference}},
author  = {Jong Hee Park},
year    = {2021},
month   = {5--19},
publisher = {CRAN},
url     = {https://CRAN.R-project.org/view=Bayesian}
}

@article{samplerCompare,
  title   = {Introduction to {SamplerCompare}},
  author  = {Madeleine B. Thompson},
  journal = {Journal of Statistical Software},
  year    = {2011},
  volume  = {43},
  number  = {12},
  pages   = {1--10},
  url     = {http://www.jstatsoft.org/v43/i12/}
}

@article{martin11,
  title     = {{MCMCpack}: Markov Chain Monte Carlo in {R}},
  author    = {Andrew D. Martin and Kevin M. Quinn and Jong Hee Park},
  journal   = {Journal of Statistical Software},
  year      = {2011},
  volume    = {42},
  number    = {9},
  pages     = {22},
  doi       = {10.18637/jss.v042.i09},
  url       = {https://www.jstatsoft.org/v42/i09/}
}

@manual{statisticat21,
  author    = {{Statisticat} and {LLC.}},
  year      = {2021},
  title     = {LaplacesDemon: Complete Environment for Bayesian Inference},
  note      = {R package version 16.1.6},
  url       = {https://web.archive.org/web/20150206004624/http://www.bayesian-inference.com/software},
  publisher = {Bayesian-Inference.com}
}