citHeader("To cite bbqr in publications use:")

bibentry(
  bibtype  = "Manual",
  title    = "{bbqr}: Bayesian Quantile Regression with Lasso and Adaptive Lasso",
  author   = person("Fernando", "Rubio Garcia"),
  year     = "2026",
  note     = "R package version 0.1.0",
  url      = "https://github.com/fernandorubiogarcia/bbqr"
)

bibentry(
  bibtype  = "MastersThesis",
  title    = "Bayesian adaptive lasso binary quantile regression with hybrid resampling for classification of imbalanced data",
  author   = person("Fernando", "Rubio Garcia"),
  school   = "Wichita State University, Dept. of Mathematics, Statistics, and Physics",
  year     = "2023",
  url      = "https://soar.wichita.edu/entities/publication/a2f86232-4704-4ec2-b685-751e7b04ec42",
  header   = "For the binary adaptive-lasso method (bbqr_alasso) cite:"
)

bibentry(
  bibtype  = "Article",
  title    = "Bayesian adaptive Lasso quantile regression",
  author   = c(person("Rahim", "Alhamzawi"), person("Keming", "Yu"),
               person("Dries F.", "Benoit")),
  journal  = "Statistical Modelling",
  year     = "2012",
  volume   = "12",
  number   = "3",
  pages    = "279--297",
  doi      = "10.1177/1471082X1101200304",
  header   = paste("The continuous adaptive lasso (cbqr_alasso) at its",
                   "default q = 1 reproduces the penalty of:")
)

citFooter(
  "The lasso and unpenalised samplers implement published methods. Please ",
  "also cite the paper for the layer you used. Binary: Benoit and Van den ",
  "Poel (2012, doi:10.1002/jae.1216) for penalty = \"none\"; Benoit, ",
  "Al-Hamzawi and Yu (2013, doi:10.1007/s00180-013-0439-0) for ",
  "penalty = \"lasso\". Continuous: Kozumi and Kobayashi ",
  "(2011, doi:10.1080/00949655.2010.496117) for cbqr_none(), whose kernel ",
  "is their sampler; Benoit, Al-Hamzawi and Yu (2013) for cbqr_lasso(), ",
  "whose hierarchy is theirs carried over to an observed response."
)
