Bibliografia

Boehmke, Bradley, y Brandon Greenwell. 2020. Hands-On Machine Learning with R. Taylor & Francis Group. https://bradleyboehmke.github.io/HOML/.

Hastie, Trevor, Robert Tibshirani, y Jerome Friedman. 2008. The Elements of Statistical Learning. Data Mining, Inference, and Prediction. Springer. https://hastie.su.domains/Papers/ESLII.pdf.

James, Gareth, Daniela Witten, Trevor Hastie, y Robert Tibshirani. 2021. An Introduction to Statistical Learning. Springer. https://trevorhastie.github.io/ISLR/book.html.

Simon, Noah, Jerome Friedman, Trevor Hastie, y Rob Tibshirani. 2011. «Regularization Paths for Cox’s Proportional Hazards Model via Coordinate Descent». Journal of Statistical Software 39 (5): 1-13. https://www.jstatsoft.org/v39/i05/.

Wickham, Hadley, y Garrett Grolemund. 2017. R for Data Science. O’REILLY. https://r4ds.had.co.nz/.

Wickham, Hadley, Danielle Navarro, y Thomas Lin Pedersen. 2016. ggplot2: Elegant Graphics for Data Analysis. Springer. https://ggplot2-book.org/.

Wooldridge, Jeffrey. 2012. Introductory Econometrics: A Modern Approach. Vol. 5th edition. South-Western College Publishing.

Xie, Yihui, J. J. Allaire, y Garrett Grolemund. 2021. R Markdown: The Definitive Guide. CRC Press. Chapman; Hall Book. https://bookdown.org/yihui/rmarkdown/.

Xie, Yihui, Christophe Dervieux, y Emily Riederer. 2021. bookdown: Authoring Books and Technical Documents with R Markdown. CRC Press. Chapman; Hall Book. https://bookdown.org/yihui/bookdown/.

———. 2022. R Markdown Cookbook. CRC Press. Chapman; Hall Book. https://bookdown.org/yihui/rmarkdown-cookbook/.