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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 'crew.cluster' package extends the 'mirai'-powered 'crew' package with worker launcher plugins for traditional high-performance computing systems. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/shikokuchuo/mirai>, '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, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.
Version: | 0.3.2 |
Depends: | R (≥ 4.0.0) |
Imports: | crew (≥ 0.9.5), ps, lifecycle, R6, rlang, utils, vctrs, xml2, yaml |
Suggests: | knitr (≥ 1.30), markdown (≥ 1.1), rmarkdown (≥ 2.4), testthat (≥ 3.0.0) |
Published: | 2024-07-10 |
DOI: | 10.32614/CRAN.package.crew.cluster |
Author: | William Michael Landau [aut, cre], Michael Gilbert Levin [aut], Brendan Furneaux [aut], Eli Lilly and Company [cph] |
Maintainer: | William Michael Landau <will.landau.oss at gmail.com> |
BugReports: | https://github.com/wlandau/crew.cluster/issues |
License: | MIT + file LICENSE |
URL: | https://wlandau.github.io/crew.cluster/, https://github.com/wlandau/crew.cluster |
NeedsCompilation: | no |
Language: | en-US |
Materials: | NEWS |
CRAN checks: | crew.cluster results |
Reference manual: | crew.cluster.pdf |
Package source: | crew.cluster_0.3.2.tar.gz |
Windows binaries: | r-devel: crew.cluster_0.3.2.zip, r-release: crew.cluster_0.3.2.zip, r-oldrel: crew.cluster_0.3.2.zip |
macOS binaries: | r-release (arm64): crew.cluster_0.3.2.tgz, r-oldrel (arm64): crew.cluster_0.3.2.tgz, r-release (x86_64): crew.cluster_0.3.2.tgz, r-oldrel (x86_64): crew.cluster_0.3.2.tgz |
Old sources: | crew.cluster archive |
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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.