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
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:

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, fxTWAPLS, GeDS, hwep, kergp, latentcor, LWFBrook90R, nebula, pareg, parseRPDR, remiod, rpm, rTwig, SharkDemography, simtrial, skpr, sparrpowR, sphunif, ssdtools, stacks, survstan, tglkmeans, tune, updog, vmeasur, WeightedCluster
Reverse suggests:	bhmbasket, ISAnalytics, kernelshap, ldsr, mikropml, momentuHMM, mslp, oncomsm, progressr, projpred, robust2sls, SCdeconR, semPower, sRACIPE

Linking:

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