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CRAN: Package worcs

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

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