Workflow for Open Reproducible Code in Science

Create reproducible and transparent research projects in 'R'. 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 (2021). .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("worcs")

0.1.20 by Caspar J. Van Lissa, 8 months ago


https://github.com/cjvanlissa/worcs, https://cjvanlissa.github.io/worcs/


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


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


Documentation:   PDF Manual  


CC0 license


Imports methods, rmarkdown, renv, prereg, gert, ranger, yaml, digest, rticles, tinytex, credentials, usethis, gh, xfun, cli, rlang, rprojroot

Suggests papaja, targets, lavaan, tidySEM, tarchetypes, remotes, knitr, missRanger, curl, fs, withr, desc, purrr, testthat, pkgdown

System requirements: pandoc (>= 1.14) - https://pandoc.org


Imported by revise, theorytools.


See at CRAN