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). .


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install.packages("worcs")

0.1.5 by Caspar J. van Lissa, 21 days ago


https://github.com/cjvanlissa/worcs


Browse source code at https://github.com/cran/worcs


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