Chapter 13 References

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2020. Rmarkdown: Dynamic Documents for r. https://github.com/rstudio/rmarkdown.
Pedersen, Eric J, David L Miller, Gavin L Simpson, and Noam Ross. 2019. “Hierarchical Generalized Additive Models in Ecology: An Introduction with Mgcv.” PeerJ 7: e6876. https://doi.org/https://doi.org/10.7717/peerj.6876.
R Core Team. 2020. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Rij, Jacolien van. 2015. “Overview GAMM Analysis of Time Series Data.” https://jacolienvanrij.com/Tutorials/GAMM.html.
Ross, Noam. 2019. “Generalized Additive Models in r: A Free Interactive Course.” Generalized Additive Models in R. https://noamross.github.io/gams-in-r-course/.
Simpson, Gavin. 2022. From the Bottom of the Heap: The Musings of a Geographer. https://fromthebottomoftheheap.net/.
Simpson, Gavin L., and N. J. Anderson. 2009. “Deciphering the Effect of Climate Change and Separating the Influence of Confounding Factors in Sediment Core Records Using Additive Models.” Limnology and Oceanography 54 (6part2): 2529–41. https://doi.org/https://doi.org/10.4319/lo.2009.54.6_part_2.2529.
van Rij, Jacolien, Martijn Wieling, R. Harald Baayen, and Hedderik van Rijn. 2020. “itsadug: Interpreting Time Series and Autocorrelated Data Using GAMMs.”
Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org.
Wood, S. N. 2006. Generalized Additive Models: An Introduction with r. 2nd ed. Chapman; Hall/CRC.
Wood, Simon. 2021. “mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation.”
Xie, Yihui. 2014. “Knitr: A Comprehensive Tool for Reproducible Research in R.” In Implementing Reproducible Computational Research, edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng. Chapman; Hall/CRC. http://www.crcpress.com/product/isbn/9781466561595.
———. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. https://yihui.org/knitr/.
———. 2016. Bookdown: Authoring Books and Technical Documents with R Markdown. Boca Raton, Florida: Chapman; Hall/CRC. https://github.com/rstudio/bookdown.
———. 2020. Bookdown: Authoring Books and Technical Documents with r Markdown. https://github.com/rstudio/bookdown.
———. 2021. Knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.
Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown.
Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020. R Markdown Cookbook. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown-cookbook.
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