workflowr: A Framework for Reproducible and Collaborative Data Science

Combines literate programming ('knitr' and 'rmarkdown') and version control ('Git', via 'git2r') to generate a website containing time-stamped, versioned, and documented results.

Version: 1.0.1
Depends: R (≥ 3.2.5), rmarkdown (≥ 1.7)
Imports: callr, getPass, git2r (≤ 0.21.0), glue, knitr, methods, rprojroot, rstudioapi, R.utils, stringr (≥ 1.1.0), tools, utils, whisker, yaml
Suggests: covr, devtools, testthat, withr
Published: 2018-04-23
Author: John Blischak [aut, cre], Peter Carbonetto [aut], Matthew Stephens [aut]
Maintainer: John Blischak <jdblischak at uchicago.edu>
BugReports: https://github.com/jdblischak/workflowr/issues
License: MIT + file LICENSE
URL: https://github.com/jdblischak/workflowr
NeedsCompilation: no
SystemRequirements: pandoc (>= 1.12.3) - http://pandoc.org
Materials: NEWS
CRAN checks: workflowr results

Downloads:

Reference manual: workflowr.pdf
Vignettes: Getting started with workflowr
Customize your research website
Migrating an existing project to use workflowr
How the workflowr package works
Frequently asked questions
Package source: workflowr_1.0.1.tar.gz
Windows binaries: r-devel: workflowr_1.0.1.zip, r-release: workflowr_1.0.1.zip, r-oldrel: workflowr_1.0.1.zip
OS X binaries: r-release: workflowr_1.0.1.tgz, r-oldrel: not available

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