drake: Data Frames in R for Make

An R-focused pipeline toolkit for reproducible code and high-performance computing.

Version: 5.0.0
Depends: R (≥ 3.2.0)
Imports: codetools, crayon, evaluate, digest, formatR, future, future.apply, grDevices, igraph, knitr, lubridate, magrittr, parallel, plyr, R.utils, rprojroot, stats, storr (≥ 1.1.0), stringi, stringr, testthat, utils, visNetwork, withr
Suggests: abind, cranlogs, DBI, Ecdat, future.batchtools, ggplot2, MASS, methods, RSQLite, rmarkdown, tibble
Published: 2018-01-26
Author: William Michael Landau [aut, cre], Alex Axthelm [ctb], Jasper Clarkberg [ctb], Ben Marwick [rev], Peter Slaughter [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau at gmail.com>
BugReports: https://github.com/ropensci/drake/issues
License: GPL-3
URL: https://github.com/ropensci/drake
NeedsCompilation: no
In views: HighPerformanceComputing
CRAN checks: drake results

Downloads:

Reference manual: drake.pdf
Vignettes: best_practices
caution
debug
drake
example-gsp
example-packages
graph
parallelism
quickstart
storage
timing
Package source: drake_5.0.0.tar.gz
Windows binaries: r-devel: drake_5.0.0.zip, r-release: drake_5.0.0.zip, r-oldrel: drake_5.0.0.zip
OS X El Capitan binaries: r-release: drake_5.0.0.tgz
OS X Mavericks binaries: r-oldrel: drake_4.4.0.tgz
Old sources: drake archive

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