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BatchJobs: Batch Computing with R

Provides Map, Reduce and Filter variants to generate jobs on batch computing systems like PBS/Torque, LSF, SLURM and Sun Grid Engine. Multicore and SSH systems are also supported. For further details see the project web page.

Version: 1.9
Depends: R (≥ 3.0.0), BBmisc (≥ 1.9), methods
Imports: backports (≥ 1.1.1), brew, checkmate (≥ 1.8.0), data.table (≥ 1.9.6), DBI, digest, parallel, RSQLite (≥ 1.0.9011), sendmailR, stats, stringi (≥ 0.4-1), utils
Suggests: MASS, testthat
Published: 2022-03-21
Author: Bernd Bischl, Michel Lang, Henrik Bengtsson
Maintainer: Bernd Bischl <bernd_bischl at gmx.net>
MailingList: batchjobs@googlegroups.com
BugReports: https://github.com/tudo-r/BatchJobs/issues
License: BSD_2_clause + file LICENSE
URL: https://github.com/tudo-r/BatchJobs
NeedsCompilation: no
Citation: BatchJobs citation info
Materials: NEWS
In views: HighPerformanceComputing
CRAN checks: BatchJobs results

Documentation:

Reference manual: BatchJobs.pdf

Downloads:

Package source: BatchJobs_1.9.tar.gz
Windows binaries: r-devel: BatchJobs_1.9.zip, r-release: BatchJobs_1.9.zip, r-oldrel: BatchJobs_1.9.zip
macOS binaries: r-release (arm64): BatchJobs_1.9.tgz, r-oldrel (arm64): BatchJobs_1.9.tgz, r-release (x86_64): BatchJobs_1.9.tgz, r-oldrel (x86_64): BatchJobs_1.9.tgz
Old sources: BatchJobs archive

Reverse dependencies:

Reverse depends: BatchExperiments
Reverse imports: h5vc, parglms
Reverse suggests: parallelMap

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BatchJobs to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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