drake (6.1.0)

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A Pipeline Toolkit for Reproducible Computation at Scale.

https://github.com/ropensci/drake
http://cran.r-project.org/web/packages/drake

A general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website and the online manual .

Maintainer: Landau William
Author(s): William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Alex Axthelm [ctb], Jasper Clarkberg [ctb], Kirill Mller [ctb], Ben Marwick [rev], Peter Slaughter [rev], Eli Lilly and Company [cph]

License: GPL-3

Uses: codetools, digest, dplyr, evaluate, formatR, fs, future, igraph, magrittr, pkgconfig, purrr, R.utils, R6, rlang, storr, stringi, tibble, tidyselect, withr, DBI, RSQLite, abind, ggplot2, MASS, testthat, lubridate, knitr, downloader, rmarkdown, crayon, networkD3, visNetwork, webshot, rprojroot, callr, bindr, prettycode, ggraph, CodeDepends, clustermq, styler, future.apply, txtq

Released 20 days ago.


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