drake
A Pipeline Toolkit for Reproducible Computation at Scale
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, there is native support for parallel and distributed computing, 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
- GitHub
- https://docs.ropensci.org/drake/
- https://books.ropensci.org/drake/
- File a bug report
- drake results
- drake.pdf
- Version7.13.10
- R version≥ 3.3.0
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- drake citation info
- Last release05/15/2024
Documentation
Team
William Michael Landau
Alex Axthelm
Show author detailsRolesContributorJasper Clarkberg
Show author detailsRolesContributorKirill Müller
Show author detailsRolesContributorBen Bond-Lamberty
Tristan Mahr
Miles McBain
Noam Ross
Ellis Hughes
Show author detailsRolesContributorMatthew Mark Strasiotto
Show author detailsRolesContributorBen Marwick
Show author detailsRolesReviewerPeter Slaughter
Show author detailsRolesReviewerEli Lilly and Company
Show author detailsRolesCopyright holder
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Dependencies
- Depends1 package
- Imports9 packages
- Suggests34 packages