Evaluate Function Calls on HPC Schedulers (SLURM, LSF, SGE, GCS, OCS, PBS, Torque) R package clustermq version 0.10.1 CRAN Task View: HighPerformanceComputing (https://CRAN.R-project.org/view=HighPerformanceComputing) Evaluate arbitrary function calls using workers on HPC schedulers in single line of code. All processing is done on the network without accessing the file system. Remote schedulers are supported via SSH. Software Depends: R (>= 3.6.2) Imports: methods, globals, progress, R6, Rcpp, utils LinkingTo: Rcpp Suggests: BiocParallel, callr, devtools, foreach, iterators, knitr, parallel, rmarkdown, roxygen2 (>= 5.0.0), testthat, tools Michael Schubert <mschu.dev@gmail.com> Comprehensive R Archive Network (CRAN) Michael Schubert [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-6862-5221>), ZeroMQ authors [aut, cph] (source files in 'src/libzmq' and 'src/cppzmq') Apache License (== 2.0) file LICENSE (https://CRAN.R-project.org/package=clustermq/LICENSE) 2026-06-04 application/tgz https://CRAN.R-project.org/package=clustermq doi:10.32614/CRAN.package.clustermq