Crew Launcher Plugins for Traditional High-Performance Computing Clusters R package crew.cluster version 0.4.0 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/r-lib/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>. Software Depends: R (>= 4.0.0) Imports: crew (>= 1.3.0), lifecycle, nanonext, ps, R6, rlang, utils, vctrs, xml2, yaml Suggests: knitr (>= 1.30), markdown (>= 1.1), rmarkdown (>= 2.4), testthat (>= 3.0.0) William Michael Landau <will.landau.oss@gmail.com> Comprehensive R Archive Network (CRAN) William Michael Landau [aut, cre] (ORCID: <https://orcid.org/0000-0003-1878-3253>), Michael Gilbert Levin [aut] (ORCID: <https://orcid.org/0000-0002-9937-9932>), Brendan Furneaux [aut] (ORCID: <https://orcid.org/0000-0003-3522-7363>), Eli Lilly and Company [cph, fnd] MIT + file LICENSE (https://CRAN.R-project.org/package=crew.cluster/LICENSE) 2025-09-15 application/tgz https://CRAN.R-project.org/package=crew.cluster doi:10.32614/CRAN.package.crew.cluster en-US