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: | 1.3.4 |
Depends: | R (≥ 3.2.0) |
Imports: | rmarkdown (≥ 0.5.1), knitr (≥ 1.6) |
Suggests: | testthat (≥ 2.1.0) |
Published: | 2021-03-09 |
DOI: | 10.32614/CRAN.package.rchallenge |
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://adrien.tspace.fr/rchallenge/, https://github.com/adrtod/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_1.3.4.tar.gz |
Windows binaries: | r-devel: rchallenge_1.3.4.zip, r-release: rchallenge_1.3.4.zip, r-oldrel: rchallenge_1.3.4.zip |
macOS binaries: | r-release (arm64): rchallenge_1.3.4.tgz, r-oldrel (arm64): rchallenge_1.3.4.tgz, r-release (x86_64): rchallenge_1.3.4.tgz, r-oldrel (x86_64): rchallenge_1.3.4.tgz |
Old sources: | rchallenge archive |
Reverse suggests: | counterfactuals, stablelearner |
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