Workflow for Open Reproducible Code in Science

Create reproducible and transparent research projects in 'R', with a minimal amount of code. This package is based on the Workflow for Open Reproducible Code in Science (WORCS), a step-by-step procedure based on best practices for Open Science. It includes an 'RStudio' project template, several convenience functions, and all dependencies required to make your project reproducible and transparent. WORCS is explained in the tutorial paper by Van Lissa, Brandmaier, Brinkman, Lamprecht, Struiksma, & Vreede (2020). .


Reference manual

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0.1.5 by Caspar J. van Lissa, 17 days ago

Browse source code at

Authors: Caspar J. van Lissa [aut, cre] , Aaron Peikert [aut] , Andreas M. Brandmaier [aut]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports methods, rmarkdown, prereg, gert, ranger, yaml, digest, rticles

Suggests remotes, tinytex, renv, knitr, missRanger, testthat

See at CRAN