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