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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 |
Please use the canonical form https://CRAN.R-project.org/package=rchallenge to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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