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: 1.11.0
Depends: R (≥ 3.2.0), future (≥ 1.28.0)
Imports: globals (≥ 0.16.1), parallel, utils
Suggests: datasets, stats, tools, listenv (≥ 0.8.0), R.rsp, markdown
Published: 2023-05-21
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://future.apply.futureverse.org, https://github.com/HenrikBengtsson/future.apply
NeedsCompilation: no
Citation: future.apply citation info
Materials: NEWS
In views: HighPerformanceComputing
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_1.11.0.tar.gz
Windows binaries: r-devel: future.apply_1.11.0.zip, r-release: future.apply_1.11.0.zip, r-oldrel: future.apply_1.11.0.zip
macOS binaries: r-release (arm64): future.apply_1.11.0.tgz, r-oldrel (arm64): future.apply_1.11.0.tgz, r-release (x86_64): future.apply_1.11.0.tgz, r-oldrel (x86_64): future.apply_1.11.0.tgz
Old sources: future.apply archive

Reverse dependencies:

Reverse depends: isopam, MAMS
Reverse imports: AIPW, alphaci, aroma.cn, ARPALData, BAMBI, BEKKs, bigDM, blavaan, bolasso, canaper, clickR, codalm, conformalInference.fd, conformalInference.multi, cSEM, dipsaus, disk.frame, doFuture, DQAstats, drtmle, dsos, EFAtools, EGAnet, EpiNow2, epwshiftr, fitlandr, forecastML, fundiversity, genBaRcode, geocmeans, gsdensity, gWQS, hackeRnews, hacksig, haldensify, iml, incubate, InPAS, kernelboot, keyATM, lava, lightr, MAI, mcmcensemble, mcp, missSBM, mlr3, mrgsim.parallel, multiverse, NetSimR, optic, optimLanduse, origami, pavo, phylolm, PLNmodels, polle, portvine, qape, QDNAseq, qgcomp, qgcompint, rangeMapper, rBiasCorrection, receptiviti, refineR, robotstxt, RTransferEntropy, s3fs, scBubbletree, scDiffCom, sctransform, semtree, Seurat, SeuratObject, Signac, signeR, SimDesign, simfinapi, simglm, sims, smoots, sNPLS, solitude, SPARSEMODr, spatialwarnings, sperrorest, spNetwork, steps, stppSim, supercells, targeted, tidySEM, XNAString
Reverse suggests: arkdb, bcmaps, cvCovEst, DeclareDesign, fabletools, future.batchtools, future.callr, gstat, hero, inlinedocs, ivmte, LexFindR, lgr, merTools, mikropml, MineICA, mlr3db, modelsummary, MOSS, OptimalGoldstandardDesigns, pbapply, PeakSegDisk, penaltyLearning, progressr, sdmApp, sdmTMB, sentopics, spaMM, stars, txshift, wildmeta


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