A simple data science challenge system using R Markdown and 'Dropbox' <https://www.dropbox.com/>. It requires no network configuration, does not depend on external platforms like e.g. 'Kaggle' <https://www.kaggle.com/> and can be easily installed on a personal computer.
| Version: | 1.3.2 |
| Depends: | R (≥ 3.2.0) |
| Imports: | rmarkdown (≥ 0.5.1), knitr (≥ 1.6) |
| Suggests: | testthat (≥ 2.1.0) |
| Published: | 2020-01-19 |
| Author: | Adrien Todeschini [aut, cre], Robin Genuer [ctb] |
| Maintainer: | Adrien Todeschini <adrien.todeschini at gmail.com> |
| BugReports: | https://github.com/adrtod/rchallenge/issues |
| License: | GPL-2 |
| URL: | https://adrtod.github.io/rchallenge |
| NeedsCompilation: | no |
| SystemRequirements: | pandoc (>= 1.12.3) - http://johnmacfarlane.net/pandoc |
| Materials: | README NEWS |
| CRAN checks: | rchallenge results |
| Reference manual: | rchallenge.pdf |
| Package source: | rchallenge_1.3.2.tar.gz |
| Windows binaries: | r-devel: rchallenge_1.3.2.zip, r-release: rchallenge_1.3.2.zip, r-oldrel: rchallenge_1.3.2.zip |
| macOS binaries: | r-release: rchallenge_1.3.2.tgz, r-oldrel: not available |
| Old sources: | rchallenge archive |
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