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BatchExperiments: Statistical Experiments on Batch Computing Clusters

Extends the BatchJobs package to run statistical experiments on batch computing clusters. For further details see the project web page.

Version: 1.4.3
Depends: R (≥ 3.0.0), BatchJobs (≥ 1.7)
Imports: backports, utils, stats, checkmate (≥ 1.8.5), BBmisc (≥ 1.11), DBI, RSQLite (≥ 2.0), data.table (≥ 1.9.6)
Suggests: plyr, randomForest, rpart, testthat
Published: 2022-03-21
DOI: 10.32614/CRAN.package.BatchExperiments
Author: Bernd Bischl, Michel Lang, Olaf Mersmann
Maintainer: Michel Lang <michellang at gmail.com>
BugReports: https://github.com/tudo-r/BatchExperiments/issues
License: BSD_3_clause + file LICENSE
URL: https://github.com/tudo-r/BatchExperiments
NeedsCompilation: no
Citation: BatchExperiments citation info
Materials: NEWS
In views: ExperimentalDesign, HighPerformanceComputing
CRAN checks: BatchExperiments results

Documentation:

Reference manual: BatchExperiments.pdf

Downloads:

Package source: BatchExperiments_1.4.3.tar.gz
Windows binaries: r-devel: BatchExperiments_1.4.3.zip, r-release: BatchExperiments_1.4.3.zip, r-oldrel: BatchExperiments_1.4.3.zip
macOS binaries: r-release (arm64): BatchExperiments_1.4.3.tgz, r-oldrel (arm64): BatchExperiments_1.4.3.tgz, r-release (x86_64): BatchExperiments_1.4.3.tgz, r-oldrel (x86_64): BatchExperiments_1.4.3.tgz
Old sources: BatchExperiments archive

Reverse dependencies:

Reverse suggests: wrswoR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BatchExperiments 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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