The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

doFuture: Use Foreach to Parallelize via the Future Framework

The 'future' package provides a unifying parallelization framework for R that supports many parallel and distributed backends. The 'foreach' package provides a powerful API for iterating over an R expression in parallel. The 'doFuture' package brings the best of the two together. There are two alternative ways to use this package. The recommended approach is to use 'y <- foreach(...) %dofuture% { ... }', which does not require using 'registerDoFuture()' and has many advantages over '%dopar%'. The alternative is the traditional 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()' and so that 'y <- foreach(...) %dopar% { ... }' runs in parallelizes with the 'future' framework.

Version: 1.0.1
Depends: foreach (≥ 1.5.0), future (≥ 1.32.0)
Imports: future.apply, globals, iterators, parallel, utils
Suggests: doRNG (≥ 1.8.2), markdown, R.rsp
Published: 2023-12-20
DOI: 10.32614/CRAN.package.doFuture
Author: Henrik Bengtsson ORCID iD [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb at braju.com>
BugReports: https://github.com/HenrikBengtsson/doFuture/issues
License: LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
URL: https://doFuture.futureverse.org, https://github.com/HenrikBengtsson/doFuture
NeedsCompilation: no
Citation: doFuture citation info
Materials: NEWS
In views: HighPerformanceComputing
CRAN checks: doFuture results

Documentation:

Reference manual: doFuture.pdf
Vignettes: doFuture: An Overview on using Foreach to Parallelize via the Future Framework
Foreach Iteration using Futures via %dopar%
Foreach Iteration using Futures via %dofuture%

Downloads:

Package source: doFuture_1.0.1.tar.gz
Windows binaries: r-devel: doFuture_1.0.1.zip, r-release: doFuture_1.0.1.zip, r-oldrel: doFuture_1.0.1.zip
macOS binaries: r-release (arm64): doFuture_1.0.1.tgz, r-oldrel (arm64): doFuture_1.0.1.tgz, r-release (x86_64): doFuture_1.0.1.tgz, r-oldrel (x86_64): doFuture_1.0.1.tgz
Old sources: doFuture archive

Reverse dependencies:

Reverse imports: antaresEditObject, baskexact, basksim, envi, funGp, futureverse, fxTWAPLS, GeDS, GeoModels, hwep, kergp, latentcor, LWFBrook90R, multilevelcoda, nebula, parseRPDR, pliman, rechaRge, remiod, rpm, segtest, SharkDemography, simtrial, skpr, sparrpowR, sphunif, stacks, survstan, tglkmeans, tune, updog, vmeasur, WeightedCluster
Reverse suggests: bhmbasket, kernelshap, ldsr, mikropml, momentuHMM, mslp, oncomsm, progressr, projpred, robust2sls, SCdeconR, semPower, sRACIPE, ssdtools

Linking:

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