crew

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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