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 <doi:10.32614/RJ-2021-048>. 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: | 1.1.2 |
| Depends: | foreach (≥ 1.5.0), future (≥ 1.49.0) |
| Imports: | future.apply, globals, iterators, parallel, utils |
| Suggests: | doRNG (≥ 1.8.2), markdown, R.rsp |
| Published: | 2025-07-14 |
| DOI: | 10.32614/CRAN.package.doFuture |
| Author: | Henrik Bengtsson 
[aut, cre, cph] |
| Maintainer: | Henrik Bengtsson <henrikb at braju.com> |
| BugReports: | https://github.com/futureverse/doFuture/issues |
| License: | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)] |
| URL: | https://doFuture.futureverse.org, https://github.com/futureverse/doFuture |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | doFuture citation info |
| Materials: | NEWS |
| In views: | HighPerformanceComputing |
| CRAN checks: | doFuture results |
Documentation:
Downloads:
| Package source: | doFuture_1.1.2.tar.gz |
| Windows binaries: | r-devel: doFuture_1.1.2.zip, r-release: doFuture_1.1.2.zip, r-oldrel: doFuture_1.1.2.zip |
| macOS binaries: | r-release (arm64): doFuture_1.1.2.tgz, r-oldrel (arm64): doFuture_1.1.2.tgz, r-release (x86_64): doFuture_1.1.2.tgz, r-oldrel (x86_64): doFuture_1.1.2.tgz |
| Old sources: | doFuture archive |
Reverse dependencies:
| Reverse depends: | distantia |
| Reverse imports: | antaresEditObject, baskexact, basksim, binaryRL, dbmss, envi, EQRN, fastml, funGp, futureverse, fxTWAPLS, GeDS, GeoModels, hwep, jackknifeR, kergp, kernelshap, latentcor, LWFBrook90R, nebula, parseRPDR, polykde, rechaRge, remiod, rpm, segtest, SEQTaRget, SharkDemography, simtrial, skpr, sparrpowR, sphunif, sRACIPE, survstan, TAD, tglkmeans, updog, vmeasur, WARDEN, WeightedCluster |
| Reverse suggests: | arf, BayesianMCPMod, BayesRegDTR, bhmbasket, bsitar, ISAnalytics, ldsr, mikropml, modeltime, momentuHMM, MOODE, mslp, oncomsm, progressr, projpred, robust2sls, SCdeconR, semPower, vecmatch |
Linking:
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