references.bib

@article{knuth84,
  author = {Knuth, Donald E.},
  title = {Literate Programming},
  year = {1984},
  issue_date = {May 1984},
  publisher = {Oxford University Press, Inc.},
  address = {USA},
  volume = {27},
  number = {2},
  issn = {0010-4620},
  url = {https://doi.org/10.1093/comjnl/27.2.97},
  doi = {10.1093/comjnl/27.2.97},
  journal = {Comput. J.},
  month = may,
  pages = {97–111},
  numpages = {15}
}



@book{kurt2019,
	title = {Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks},
	author = {Kurt, Will},
	year = {2019},
	month = {07},
	date = {2019-07-09},
	publisher = {No Starch Press},
	edition = {Illustrated Edition},
	note = {Citation Key: kurt2019},
	address = {San Francisco},
	langid = {Englisch}
}

@book{mcelreath2020,
	title = {Statistical rethinking: a Bayesian course with examples in R and Stan},
	author = {McElreath, Richard},
	year = {2020},
	date = {2020},
	publisher = {Taylor and Francis, CRC Press},
	series = {CRC texts in statistical science},
	edition = {2},
	url = {https://doi.org/10.1201/9780429029608},
	address = {Boca Raton},
	langid = {en}
}

@book{kruschke2014a,
	title = {Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan},
	author = {Kruschke, John},
	year = {2014},
	month = {12},
	date = {2014-12-30},
	publisher = {Academic Press},
	edition = {2},
	note = {Citation Key: kruschke2014a},
	address = {Boston},
	langid = {Englisch}
}

@book{kruschke2014,
	title = {Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan},
	author = {Kruschke, John},
	year = {2014},
	month = {12},
	date = {2014-12-30},
	publisher = {Academic Press},
	edition = {2},
	note = {Citation Key: kruschke2014},
	address = {Boston},
	langid = {Englisch}
}

@book{cumming2017,
	title = {Introduction to the New Statistics: Estimation, Open Science, and Beyond},
	author = {Cumming, Geoff and Calin-Jageman, Robert},
	year = {2017},
	date = {2017},
	publisher = {Routledge},
	address = {New York},
	langid = {Englisch}
}

@book{mcgrayne2011,
	title = {The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy},
	author = {McGrayne, Sharon Bertsch},
	year = {2011},
	month = {17},
	date = {2011-17},
	publisher = {Yale University Press},
	langid = {Englisch}
}

@book{lambert2018,
	title = {A Student{\textquoteright}s Guide to Bayesian Statistics},
	author = {Lambert, Ben},
	year = {2018},
	month = {04},
	date = {2018-04-20},
	publisher = {SAGE Publications Ltd},
	edition = {1},
	langid = {Englisch}
}

@article{glossary,
	title = {glossary: Glossaries for Markdown and Quarto Documents},
	author = {DeBruine, Lisa},
	year = {2023},
	date = {2023}
}

@article{bookdown,
	title = {bookdown: Authoring Books and Technical Documents with R Markdown},
	author = {Xie, Yihui},
	year = {2023},
	date = {2023},
	url = {https://github.com/rstudio/bookdown}
}

@article{ggplot2,
	title = {ggplot2: Elegant Graphics for Data Analysis},
	author = {Wickham, Hadley},
	year = {2016},
	date = {2016},
	url = {https://ggplot2.tidyverse.org}
}

@article{tidyverse,
	title = {Welcome to the {\textbraceleft}tidyverse{\textbraceright}},
	author = {Wickham, Hadley and Averick, Mara and Bryan, Jennifer and Chang, Winston and McGowan, {Lucy D'Agostino} and {François}, Romain and Grolemund, Garrett and Hayes, Alex and Henry, Lionel and Hester, Jim and Kuhn, Max and Pedersen, Thomas Lin and Miller, Evan and Bache, Stephan Milton and {Müller}, Kirill and Ooms, Jeroen and Robinson, David and Seidel, Dana Paige and Spinu, Vitalie and Takahashi, Kohske and Vaughan, Davis and Wilke, Claus and Woo, Kara and Yutani, Hiroaki},
	year = {2019},
	date = {2019},
	pages = {1686},
	volume = {4},
	doi = {10.21105/joss.01686}
}

@book{kruschke2014b,
	title = {Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan},
	author = {Kruschke, John},
	year = {2014},
	month = {12},
	date = {2014-12-30},
	publisher = {Academic Press},
	edition = {2},
	note = {Citation Key: kruschke2014},
	address = {Boston},
	langid = {Englisch}
}