worcs: Workflow for Open Reproducible Code in Science (original) (raw)

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:	0.1.19
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
Suggests:	papaja (≥ 0.1.1), targets (≥ 1.11.1), lavaan, tidySEM, tarchetypes, remotes, knitr, missRanger, curl, fs, withr, desc, purrr, testthat (≥ 3.0.0)
Published:	2025-07-13
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:	GPL (≥ 3)
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

Documentation:

Reference manual:	worcs.html , <worcs.pdf>
Vignettes:	Citing references in worcs (source, R code) Using Endpoints to Check Reproducibility (source, R code) Connecting to 'Git' remote repositories (source, R code) Reproducing a WORCS project (source, R code) Setting up your computer for WORCS - Docker-edition (source, R code) Setting up your computer for WORCS (source, R code) Using Custom Synthetic Data (source, R code) Using targets to Reduce Redundant Computations (source, R code) The WORCS workflow, version 0.1.16 (source, R code)

Reference manual:

worcs.html , <worcs.pdf>

Vignettes:

Citing references in worcs (source, R code) Using Endpoints to Check Reproducibility (source, R code) Connecting to 'Git' remote repositories (source, R code) Reproducing a WORCS project (source, R code) Setting up your computer for WORCS - Docker-edition (source, R code) Setting up your computer for WORCS (source, R code) Using Custom Synthetic Data (source, R code) Using targets to Reduce Redundant Computations (source, R code) The WORCS workflow, version 0.1.16 (source, R code)

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Reverse dependencies:

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