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 <doi:10.32614/RJ-2021-048>.

Version:	1.11.3
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:	2024-10-27
DOI:	10.32614/CRAN.package.future.apply
Author:	Henrik Bengtsson [aut, cre, cph], R Core Team [cph, ctb]
Maintainer:	Henrik Bengtsson <henrikb at braju.com>
BugReports:	https://github.com/futureverse/future.apply/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://future.apply.futureverse.org, https://github.com/futureverse/future.apply
NeedsCompilation:	no
Citation:	future.apply citation info
Materials:	NEWS
In views:	HighPerformanceComputing
CRAN checks:	future.apply results

Documentation:

Reference manual:	future.apply.pdf
Vignettes:	A Future for R: Apply Function to Elements in Parallel (source)

Downloads:

Package source:	future.apply_1.11.3.tar.gz
Windows binaries:	r-devel: future.apply_1.11.3.zip, r-release: future.apply_1.11.3.zip, r-oldrel: future.apply_1.11.3.zip
macOS binaries:	r-release (arm64): future.apply_1.11.3.tgz, r-oldrel (arm64): future.apply_1.11.3.tgz, r-release (x86_64): future.apply_1.11.3.tgz, r-oldrel (x86_64): future.apply_1.11.3.tgz
Old sources:	future.apply archive

Reverse dependencies:

Reverse depends:	eCV, MAMS, xegaPopulation
Reverse imports:	adestr, AIPW, alphaci, amadeus, ao, aroma.cn, ARPALData, BAMBI, BEKKs, bigDM, blavaan, bolasso, brms, calmr, canaper, clickR, ClustIRR, codalm, collinear, conformalInference.fd, conformalInference.multi, cSEM, deseats, dipsaus, disk.frame, doFuture, DQAstats, drtmle, dsos, EFAtools, EGAnet, epwshiftr, fitlandr, forecastML, fundiversity, futureverse, genBaRcode, geocmeans, GPCsign, gWQS, hackeRnews, hacksig, haldensify, hbamr, iml, incubate, iNEXT.beta3D, InPAS, isopam, JANE, kappaGold, kernelboot, keyATM, kmeRtone, LandComp, lava, lightr, LTFHPlus, MAI, malariaAtlas, mcmcensemble, mcp, missSBM, mlr3, mlr3summary, mrgsim.parallel, NetSimR, nixtlar, optic, optimLanduse, origami, OutSeekR, pavo, pgxRpi, phylolm, phylopath, PLNmodels, polle, portvine, powRICLPM, qape, QBMS, QDNAseq, qgcomp, qgcompint, rangeMapper, rBiasCorrection, readsdr, refineR, restriktor, robotstxt, rsi, RTransferEntropy, s3fs, scDiffCom, sctransform, semtree, Seurat, SeuratObject, sharp, Signac, signeR, SimDesign, simglm, sims, smoots, sNPLS, solitude, SPARSEMODr, spatialwarnings, sperrorest, spStack, steps, stppSim, supercells, targeted, TaxaNorm, tidySEM, tramvs, TreeMineR, tsdistributions, tsgarch, tsmarch, vital, winputall, XNAString, ycevo
Reverse suggests:	altdoc, arkdb, bcmaps, bsitar, cvCovEst, DeclareDesign, EpiNow2, fabletools, ferrn, future.batchtools, future.callr, future.mirai, gstat, hero, hydroloom, inlinedocs, ivmte, LexFindR, lgr, marginaleffects, merTools, metasnf, mikropml, MineICA, mlr3db, modelsummary, nhdplusTools, OptimalGoldstandardDesigns, pbapply, PeakSegDisk, penaltyLearning, progressr, receptiviti, sdmTMB, sentopics, spaMM, stars, txshift, wildmeta

Linking:

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