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.html , 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.
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