[aut, cre],
Aaron Peikert
[aut],
Andreas M. Brandmaier
[aut]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). <doi:10.17605/OSF.IO/ZCVBS>.
| Version: | 0.1.3 |
| Imports: | rmarkdown, prereg, gert, ranger, yaml, digest, rticles |
| Suggests: | remotes, tinytex, renv, knitr, missRanger, testthat (≥ 2.1.0) |
| Published: | 2020-06-27 |
| Author: | Caspar J. van Lissa
[aut, cre],
Aaron Peikert
[aut],
Andreas M. Brandmaier
[aut] |
| Maintainer: | Caspar J. van Lissa <c.j.vanlissa at uu.nl> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/cjvanlissa/worcs |
| NeedsCompilation: | no |
| CRAN checks: | worcs results |
| Reference manual: | worcs.pdf |
| Vignettes: |
citing git_cloud setup workflow |
| Package source: | worcs_0.1.3.tar.gz |
| Windows binaries: | r-devel: worcs_0.1.3.zip, r-release: worcs_0.1.3.zip, r-oldrel: worcs_0.1.3.zip |
| macOS binaries: | r-release: worcs_0.1.3.tgz, r-oldrel: not available |
| Old sources: | worcs archive |
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