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  "Title": "Crew Launcher Plugins for Traditional High-Performance Computing\nClusters",
  "Description": "In computationally demanding analysis projects,\nstatisticians and data scientists asynchronously deploy\nlong-running tasks to distributed systems, ranging from\ntraditional clusters to cloud services. The 'crew.cluster'\npackage extends the 'mirai'-powered 'crew' package with worker\nlauncher plugins for traditional high-performance computing\nsystems. Inspiration also comes from packages 'mirai' by Gao\n(2023) <https://github.com/r-lib/mirai>, 'future' by Bengtsson\n(2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton\n(2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by\nSchubert (2019) <doi:10.1093/bioinformatics/btz284>), and\n'batchtools' by Lang, Bischl, and Surmann (2017).\n<doi:10.21105/joss.00135>.",
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  "URL": "https://wlandau.github.io/crew.cluster/,\nhttps://github.com/wlandau/crew.cluster",
  "BugReports": "https://github.com/wlandau/crew.cluster/issues",
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  "Repository": "https://r-multiverse.r-universe.dev",
  "Date/Publication": "2025-09-15 12:15:58 UTC",
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  "Author": "William Michael Landau [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-1878-3253>),\nMichael Gilbert Levin [aut] (ORCID:\n<https://orcid.org/0000-0002-9937-9932>),\nBrendan Furneaux [aut] (ORCID: <https://orcid.org/0000-0003-3522-7363>),\nEli Lilly and Company [cph, fnd]",
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    "crew_class_launcher_slurm",
    "crew_class_monitor_cluster",
    "crew_class_monitor_sge",
    "crew_class_monitor_slurm",
    "crew_controller_lsf",
    "crew_controller_pbs",
    "crew_controller_sge",
    "crew_controller_slurm",
    "crew_launcher_cluster",
    "crew_launcher_lsf",
    "crew_launcher_pbs",
    "crew_launcher_sge",
    "crew_launcher_slurm",
    "crew_monitor_cluster",
    "crew_monitor_sge",
    "crew_monitor_slurm",
    "crew_options_cluster",
    "crew_options_lsf",
    "crew_options_pbs",
    "crew_options_sge",
    "crew_options_slurm"
  ],
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      "title": "crew.cluster: crew launcher plugins for traditional high-performance computing clusters",
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      ],
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        "crew.cluster-package"
      ]
    },
    {
      "page": "crew_class_launcher_lsf",
      "title": "*[Experimental]* LSF launcher class",
      "concept": [
        "lsf"
      ],
      "topics": [
        "crew_class_launcher_lsf"
      ]
    },
    {
      "page": "crew_class_launcher_pbs",
      "title": "*[Maturing]* PBS/TORQUE launcher class",
      "concept": [
        "pbs"
      ],
      "topics": [
        "crew_class_launcher_pbs"
      ]
    },
    {
      "page": "crew_class_launcher_sge",
      "title": "*[Maturing]* SGE launcher class",
      "concept": [
        "sge"
      ],
      "topics": [
        "crew_class_launcher_sge"
      ]
    },
    {
      "page": "crew_class_launcher_slurm",
      "title": "*[Experimental]* SLURM launcher class",
      "concept": [
        "slurm"
      ],
      "topics": [
        "crew_class_launcher_slurm"
      ]
    },
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      "concept": [
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      ],
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      ]
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      ]
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      "version": "0.4.0",
      "date": "2026-08-04T17:45:28.000Z",
      "commit": "355fedb93ab83745444cb2a5ec87457e0f230528",
      "fileid": "https://r2.ropensci.org/0dc1839d6f850ddb3f39cf850c360a193ce0a4d78b997581345b68a27e69b2c5",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/r-multiverse/actions/runs/30934991891"
    }
  ]
}