drake: Data Frames in R for Make

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

Version: 5.1.2
Depends: R (≥ 3.2.0)
Imports: bindr, CodeDepends, crayon, evaluate, digest, dplyr, formatR, future, future.apply, grDevices, igraph, knitr, lubridate, magrittr, parallel, pkgconfig, plyr, purrr, R6, R.utils, rlang (≥ 0.2.0), rprojroot, stats, storr (≥ 1.1.0), stringi, testthat, tibble, tidyselect (≥ 0.2.4), utils, visNetwork, withr
Suggests: abind, callr, cranlogs, curl, DBI, DT, Ecdat, future.batchtools, ggplot2, httr, MASS, methods, RSQLite, rmarkdown, tidyr
Published: 2018-04-10
Author: William Michael Landau [aut, cre], Alex Axthelm [ctb], Jasper Clarkberg [ctb], Kirill Müller [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-basic
example-gsp
example-packages
faq
graph
parallelism
storage
timing
Package source: drake_5.1.2.tar.gz
Windows binaries: r-devel: drake_5.1.2.zip, r-release: drake_5.1.2.zip, r-oldrel: drake_5.1.2.zip
OS X binaries: r-release: drake_5.1.2.tgz, r-oldrel: not available
Old sources: drake archive

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