crew.cluster

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.

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