citEntry(entry = "Manual",
  title        = "bigDM: Scalable Bayesian Disease Mapping Models for High-Dimensional Data",
  author       = personList(as.person("A Adin"),
                   as.person("E Orozco-Acosta"),
                   as.person("M D Ugarte")),
  year         = "2022",
  note = "R package version 0.4.1",
  url = "https://github.com/spatialstatisticsupna/bigDM",
  textVersion  =
  paste("Adin, A., Orozco-Acosta, E., Ugarte, M.D. (2021).",
        "bigDM: Scalable Bayesian Disease Mapping Models for High-Dimensional Data. R package version 0.4.1",
        "https://github.com/spatialstatisticsupna/bigDM."),
  header = "To cite the package:"
)


citEntry(entry = "article",
  title        = "Scalable Bayesian modeling for smoothing disease mapping risks in large spatial data sets using INLA",
  author       = personList(as.person("E Orozco-Acosta"),
                   as.person("A Adin"),
                   as.person("M D Ugarte")),
  year         = "2021",
  journal      = "Spatial Statistics",
  volume       = "41",
  pages        = "100496",
  doi          = "10.1016/j.spasta.2021.100496",
  textVersion  =
  paste("Orozco-Acosta, E., Adin, A., and Ugarte, M.D. (2021).",
        "Scalable Bayesian modeling for smoothing disease mapping risks in large spatial data sets using INLA. Spatial Statistics, 41, 100496. https://doi.org/10.1016/j.spasta.2021.100496"),
  header = "To cite the scalable Bayesian models implemented in the function CAR_INLA:"
)


citEntry(entry = "Misc",
  title        = "Parallel and distributed Bayesian modelling for analysing high-dimensional spatio-temporal count data",
  author       = personList(as.person("E Orozco-Acosta"),
                   as.person("A Adin"),
                   as.person("M D Ugarte")),
  year         = "2022",
  eprint       = "2201.08323",
  archivePrefix = "arXiv",
  url          = "https://arxiv.org/abs/2201.08323",
  textVersion  =
  paste("Orozco-Acosta, E., Adin, A., and Ugarte, M.D. (2022).",
        "Parallel and distributed Bayesian modelling for analysing high-dimensional spatio-temporal count data. arXiv preprint. https://arxiv.org/abs/2201.08323"),
  header = "To cite the scalable Bayesian models implemented in the function STCAR_INLA:"
)
