The following links are useful and contemporary resources mentioned in this guide.
Data Analysis Workflows & Reproducibility Learning Resources - analysis-flow Github Repository
Research Compendium
R Packages (2e)
Posit Public Package Manager
Getting Started with Docker
Git
Kreuzberger, Dominik, Niklas Kühl, and Sebastian Hirschl. 2023.
“Machine Learning Operations (MLOps): Overview, Definition, and Architecture.” IEEE Access 11: 31866–79.
https://doi.org/10.1109/ACCESS.2023.3262138.
Schloerke, Barret, and Jeff Allen. 2024.
Plumber: An API Generator for r.
https://www.rplumber.io.
Silge, Julia. 2023.
Vetiver: Version, Share, Deploy, and Monitor Models.
https://vetiver.rstudio.com.
Silge, Julia, Hadley Wickham, and Javier Luraschi. 2023.
Pins: Pin, Discover and Share Resources.
https://pins.rstudio.com/.
Wickham, Hadley. 2011.
“Testthat: Get Started with Testing.” The R Journal 3: 5–10.
https://journal.r-project.org/archive/2011-1/RJournal_2011-1_Wickham.pdf.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019.
“Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686.
https://doi.org/10.21105/joss.01686.
Wickham, Hadley, Peter Danenberg, Gábor Csárdi, and Manuel Eugster. 2024.
Roxygen2: In-Line Documentation for r.
https://roxygen2.r-lib.org/.
Wood, S. N. 2017. Generalized Additive Models: An Introduction with r. 2nd ed. Chapman; Hall/CRC.