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rchallenge: A Simple Data Science Challenge System

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

Documentation:

Reference manual: rchallenge.pdf

Downloads:

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 dependencies:

Reverse suggests: counterfactuals, stablelearner

Linking:

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.