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).
<doi:10.3233/DS-210031>.
| Version: |
0.1.20 |
| Imports: |
methods, rmarkdown, renv, prereg (≥ 0.6.0), gert (≥ 2.0.1), ranger, yaml, digest, rticles (≥ 0.27), tinytex, credentials, usethis (≥ 3.1.0), gh, xfun, cli, rlang, rprojroot |
| Suggests: |
papaja (≥ 0.1.1), targets (≥ 1.11.1), lavaan, tidySEM, tarchetypes, remotes, knitr, missRanger, curl, fs, withr, desc, purrr, testthat (≥ 3.0.0), pkgdown |
| Published: |
2026-02-22 |
| DOI: |
10.32614/CRAN.package.worcs |
| Author: |
Caspar J. Van Lissa
 [aut, cre],
Aaron Peikert
[aut],
Andreas M. Brandmaier
[aut] |
| Maintainer: |
Caspar J. Van Lissa <c.j.vanlissa at tilburguniversity.edu> |
| License: |
CC0 |
| URL: |
https://github.com/cjvanlissa/worcs,
https://cjvanlissa.github.io/worcs/ |
| NeedsCompilation: |
no |
| SystemRequirements: |
pandoc (>= 1.14) - https://pandoc.org |
| In views: |
ReproducibleResearch |
| CRAN checks: |
worcs results |