To cite `mcmcabn` package in publication use select the most appropriate among:

Kratzer G, Lewis FI, Willi B, Meli ML, Boretti FS, Hofmann-Lehmann R, Torgerson P, Furrer R, Hartnack S (2020). “Bayesian Network Modeling Applied to Feline Calicivirus Infection Among Cats in Switzerland.” Front. Vet. Sci. 7:73. doi: 10.3389/fvets.2020.00073.

Kratzer G, Furrer R (2019). “Is a single unique Bayesian network enough to accurately represent your data?” arXiv preprint arXiv:1902.06641.

Kratzer G, Furrer R (2019). mcmcabn: a structural MCMC sampler for DAGs learned from observed systemic datasets. R package version 0.3, https://CRAN.R-project.org/package=mcmcabn.

Corresponding BibTeX entries:

  @Article{,
    title = {Bayesian Network Modeling Applied to Feline Calicivirus
      Infection Among Cats in Switzerland},
    author = {Gilles Kratzer and Fraser I. Lewis and Barbara Willi and
      Marina L. Meli and Felicitas S. Boretti and Regina
      Hofmann-Lehmann and Paul Torgerson and Reinhard Furrer and Sonja
      Hartnack},
    year = {2020},
    journal = {Front. Vet. Sci. 7:73. doi: 10.3389/fvets.2020.00073},
  }
  @Article{,
    title = {Is a single unique Bayesian network enough to accurately
      represent your data?},
    author = {Gilles Kratzer and Reinhard Furrer},
    year = {2019},
    journal = {arXiv preprint arXiv:1902.06641},
  }
  @Manual{,
    title = {mcmcabn: a structural MCMC sampler for DAGs learned from
      observed systemic datasets},
    author = {Gilles Kratzer and Reinhard Furrer},
    year = {2019},
    note = {R package version 0.3},
    url = {https://CRAN.R-project.org/package=mcmcabn},
  }