future.apply: Apply Function to Elements in Parallel using Futures

Implementations of apply(), by(), eapply(), lapply(), Map(), .mapply(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework.

Version: 1.6.0
Depends: R (≥ 3.2.0), future (≥ 1.17.0)
Imports: globals (≥ 0.12.5), parallel, utils
Suggests: datasets, stats, tools, listenv (≥ 0.8.0), R.rsp, markdown
Published: 2020-07-01
Author: Henrik Bengtsson [aut, cre, cph], R Core Team [cph, ctb]
Maintainer: Henrik Bengtsson <henrikb at braju.com>
BugReports: https://github.com/HenrikBengtsson/future.apply/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/HenrikBengtsson/future.apply
NeedsCompilation: no
Materials: NEWS
CRAN checks: future.apply results


Reference manual: future.apply.pdf
Vignettes: A Future for R: Apply Function to Elements in Parallel
Package source: future.apply_1.6.0.tar.gz
Windows binaries: r-devel: future.apply_1.5.0.zip, r-release: future.apply_1.5.0.zip, r-oldrel: future.apply_1.5.0.zip
macOS binaries: r-release: future.apply_1.5.0.tgz, r-oldrel: future.apply_1.5.0.tgz
Old sources: future.apply archive

Reverse dependencies:

Reverse depends: dhReg
Reverse imports: BAMBI, blavaan, codalm, cSEM, dipsaus, disk.frame, drtmle, forecastML, fxtract, genBaRcode, GSODR, gWQS, hackeRnews, haldensify, iml, kernelboot, lightr, mlr3, origami, pavo, phylolm, prewas, QDNAseq, qgcomp, rainette, rangeMapper, robotstxt, RTransferEntropy, sctransform, Seurat, Signac, simglm, spatialwarnings, sperrorest, steps, TSstudio
Reverse suggests: bcmaps, blockCV, DeclareDesign, fabletools, future.BatchJobs, future.batchtools, future.callr, glmmboot, grattan, gstat, inlinedocs, lgr, merTools, MineICA, mlr3db, PeakSegDisk, penaltyLearning, progressr, stars, tcensReg


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