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: | 0.10.0 |
Depends: | R (≥ 4.0.0) |
Imports: | autometric, 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: | knitr (≥ 1.30), markdown (≥ 1.1), rmarkdown (≥ 2.4), testthat (≥ 3.0.0) |
Published: | 2024-10-11 |
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_0.10.0.tar.gz |
Windows binaries: | r-devel: crew_0.9.5.zip, r-release: crew_0.10.0.zip, r-oldrel: crew_0.9.5.zip |
macOS binaries: | r-release (arm64): crew_0.10.0.tgz, r-oldrel (arm64): crew_0.10.0.tgz, r-release (x86_64): crew_0.10.0.tgz, r-oldrel (x86_64): crew_0.10.0.tgz |
Old sources: | crew archive |
Reverse imports: | crew.aws.batch, crew.cluster |
Reverse suggests: | targets |
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