References

Air. Https://posit-dev.github.io/air/.

Allaire, J. J., Charles Teague, Carlos Scheidegger, Yihui Xie, Christophe Dervieux, and Gordon Woodhull. 2026. Quarto. V. 1.9. Released March. https://doi.org/10.5281/zenodo.5960048.

Casajus, Nicolas, Stéphane Dray, Olivier Gimenez, Loreleï Guéry, François Guilhaumon, and Nina M D Schiettekatte. 2020. Formation FRB CESAB / GDR ECOSTAT : Bonnes Pratiques Pour Une Recherche Reproductible En Écologie Numérique. November 8. https://doi.org/10.5281/ZENODO.4262978.

Fay, Colin. An Introduction to Docker for R Users. Https://colinfay.me/docker-r-reproducibility/.

Hester, Jim, Florent Angly, Michael Chirico, et al. 2025. “Static Code Analysis for r.” Journal of Open Source Software 10 (108): 7240. https://doi.org/10.21105/joss.07240.

Hester, Jim, Florent Angly, Russ Hyde, et al. 2025. Lintr: A Linter for r Code. https://lintr.r-lib.org.

Improve Your Code for Epidemic Analysis with R: Research Compendium — Epiverse-Trace.github.io. Https://epiverse-trace.github.io/research-compendium/instructor/compendium.html.

Jenny Bryan, Jim Hester, the STAT 545 TAs. Let’s Git Started | Happy Git and GitHub for the UseR — Happygitwithr.com. Https://happygitwithr.com/.

Knuth, Donald. Knuth: Literate Programming. Https://www-cs-faculty.stanford.edu/~knuth/lp.html.

Marwick, Ben. 2019. Rrtools: Creates a Reproducible Research Compendium. https://github.com/benmarwick/rrtools.

Marwick, Ben, Carl Boettiger, and Lincoln Mullen. 2018. “Packaging Data Analytical Work Reproducibly Using r (and Friends).” The American Statistician 72 (1): 80–88. https://doi.org/10.1080/00031305.2017.1375986.

McBain, Miles. Before I Sleep: Project as an R Package: An Okay Idea — Milesmcbain.xyz. Https://milesmcbain.xyz/posts/an-okay-idea/.

Müller, Kirill, Lorenz Walthert, and Indrajeet Patil. 2025. Styler: Non-Invasive Pretty Printing of r Code. https://github.com/r-lib/styler.

Neth, Hansjoerg. 2026. Ds4psy: Data Science for Psychologists. https://hneth-ds4psy.share.connect.posit.cloud/.

Neth, Hansjörg. 2026. Ds4psy: Data Science for Psychologists. Social Psychology; Decision Sciences, University of Konstanz. https://doi.org/10.5281/zenodo.7229812.

Nüst, Daniel, Ben Marwick, and Carl Boettiger. Research Compendium — Research-Compendium.science. Https://research-compendium.science/.

Otto, Saskia. 2026. SCIproj: Creates a Scientific Project Skeleton as an r Package. https://github.com/saskiaotto/SCIproj.

rocker-org. 2014. Rocker. https://github.com/rocker-org/rocker.

Rodrigues, Bruno. Building Reproducible Analytical Pipelines with R — Raps-with-r.dev. Https://raps-with-r.dev/.

Rodrigues, Bruno, and Philipp Baumann. 2026. Rix: Reproducible Data Science Environments with ’Nix’. https://docs.ropensci.org/rix/.

Rodriguez-Sanchez, Francisco. 2026. Template: Generic Template for Data Analysis Projects Structured as r Packages. https://github.com/Pakillo/template.

Salmon, Maelle. 2023. Why Comment Your Code as Little (and as Well) as Possible - R-Hub Blog. Https://blog.r-hub.io/2023/01/26/code-comments-self-explaining-code/.

The Binder Project — Mybinder.org. Https://mybinder.org/.

Tidyverse Style Guide — Style.tidyverse.org. Https://style.tidyverse.org/.

Ushey, Kevin, and Hadley Wickham. 2026. Renv: Project Environments. https://rstudio.github.io/renv/.

Wickham, Hadley, Jennifer Bryan, Malcolm Barrett, and Andy Teucher. 2025a. Usethis: Automate Package and Project Setup. https://usethis.r-lib.org.

Wickham, Hadley, Jennifer Bryan, Malcolm Barrett, and Andy Teucher. 2025b. Usethis: Automate Package and Project Setup. https://doi.org/10.32614/CRAN.package.usethis.

Wickham, Hadley, and Jenny Bryan. 2023. R Packages. 2nd ed. O’Reilly Media.

Wickham, Hadley, Jim Hester, Winston Chang, and Jennifer Bryan. 2026. Devtools: Tools to Make Developing r Packages Easier. https://devtools.r-lib.org/.