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In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Version: | 0.10.2 |
Depends: | R (≥ 4.0.0) |
Imports: | cli (≥ 3.1.0), data.table, getip, later, mirai (≥ 1.3.0), nanonext (≥ 1.3.0), processx, promises, ps, R6, rlang, stats, tibble, tidyselect, tools, utils |
Suggests: | autometric (≥ 0.1.0), knitr (≥ 1.30), markdown (≥ 1.1), rmarkdown (≥ 2.4), testthat (≥ 3.0.0) |
Published: | 2024-11-15 |
DOI: | 10.32614/CRAN.package.crew |
Author: | William Michael Landau [aut, cre], Daniel Woodie [ctb], Eli Lilly and Company [cph, fnd] |
Maintainer: | William Michael Landau <will.landau.oss at gmail.com> |
BugReports: | https://github.com/wlandau/crew/issues |
License: | MIT + file LICENSE |
URL: | https://wlandau.github.io/crew/, https://github.com/wlandau/crew |
NeedsCompilation: | no |
Language: | en-US |
Materials: | NEWS |
In views: | HighPerformanceComputing |
CRAN checks: | crew results |
Reference manual: | crew.pdf |
Vignettes: |
Controller groups (source) Introduction to crew (source) Logging (source, R code) Launcher plugins (source, R code) Integration with promises (source) Known risks of crew (source) Asynchronous Shiny apps (source) |
Package source: | crew_0.10.2.tar.gz |
Windows binaries: | r-devel: crew_0.10.2.zip, r-release: crew_0.10.2.zip, r-oldrel: crew_0.10.2.zip |
macOS binaries: | r-release (arm64): crew_0.10.2.tgz, r-oldrel (arm64): crew_0.10.2.tgz, r-release (x86_64): crew_0.10.2.tgz, r-oldrel (x86_64): crew_0.10.2.tgz |
Old sources: | crew archive |
Reverse imports: | crew.aws.batch, crew.cluster |
Reverse suggests: | targets |
Please use the canonical form https://CRAN.R-project.org/package=crew to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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