_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-crew 1.1.0
Propagated dependencies: r-tidyselect@1.2.1 r-tibble@3.2.1 r-rlang@1.1.4 r-r6@2.5.1 r-ps@1.8.1 r-promises@1.3.0 r-processx@3.8.4 r-nanonext@1.5.2 r-mirai@2.2.0 r-later@1.3.2 r-getip@0.1-4 r-data-table@1.16.2 r-cli@3.6.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://wlandau.github.io/crew/
Licenses: Expat
Synopsis: Distributed Worker Launcher Framework
Description:

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>.

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