crew: A Distributed Worker Launcher Framework
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) <https://CRAN.R-project.org/package=mirai> 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: | 0.2.1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | getip, mirai (≥ 0.8.4), nanonext (≥ 0.8.3), processx, ps, R6, rlang, stats, tibble, tidyselect, utils |
| Suggests: | knitr (≥ 1.30), markdown (≥ 1.1), rmarkdown (≥ 2.4), testthat (≥ 3.0.0) |
| Published: | 2023-05-22 |
| Author: | William Michael Landau
 [aut, cre],
Daniel Woodie [ctb],
Eli Lilly and Company [cph] |
| Maintainer: | William Michael Landau <will.landau 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 |
| CRAN checks: | crew results |
Documentation:
| Reference manual: | crew.pdf |
| Vignettes: |
Controller groups Launcher plugins Asynchronous Shiny apps |
Downloads:
| Package source: | crew_0.2.1.tar.gz |
| Windows binaries: | r-devel: crew_0.2.1.zip, r-release: crew_0.2.1.zip, r-oldrel: crew_0.2.1.zip |
| macOS binaries: | r-release (arm64): crew_0.2.1.tgz, r-oldrel (arm64): crew_0.2.1.tgz, r-release (x86_64): crew_0.2.1.tgz, r-oldrel (x86_64): crew_0.2.1.tgz |
| Old sources: | crew archive |
Reverse dependencies:
| Reverse imports: | crew.cluster |
| Reverse suggests: | targets |
Linking:
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