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projr

What is projr?

projr provides a single intuitive build function that automates rendering, versioning, archiving, and restoration for reproducible research projects. With projr, you can focus on your research whilst it handles the infrastructure.

The whole game 

# Put raw data in _raw_data/, outputs in _output/, analysis docs in project root:
projr_build()

This one function:

  • Clears _output directory
  • Renders all documents (R Markdown, Quarto, Bookdown)
  • Versions raw data, outputs, and project
  • Manages Git/GitHub commits (if configured)
  • Archives to GitHub Releases, OSF, or local storage (optional)

Try a development build

Development builds:

  • Route outputs to cache (_tmp/) for inspection
  • Don’t bump version numbers
  • Don’t upload to archives
  • Let you iterate safely without overwriting released outputs

Restore later 

projr_restore_repo("owner/my-amazing-repo")

Restoration:

  • Clones the repository from GitHub
  • Restores raw data from configured archives
  • Reconstructs the full project structure
  • Ready to reproduce the analysis

Why it helps

  1. Code and data availability: Automatic archiving to GitHub Releases or OSF makes sharing complete research projects effortless

  2. Correctness via version-linked inputs/outputs: Manifests link every output to the exact version of raw data and code that created it, ensuring traceability

  3. Dependency capture: Optional renv integration locks R package versions for long-term reproducibility

Tip: You can adopt projr at any project stage—whether starting fresh or adding structure to existing work.

Note: Git/GitHub prompts are guided; no prior Git knowledge needed.

Installation 

# Once on CRAN (future):
# install.packages("projr")

# For now, install from GitHub:
remotes::install_github("SATVILab/projr")

Documentation

Getting help

If you encounter a bug or have a feature request, please file an issue.

Licence

See LICENSE file for details.