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:	1.9.0
Depends:	R (≥ 3.2.0), future (≥ 1.22.1)
Imports:	globals (≥ 0.14.0), parallel, utils
Suggests:	datasets, stats, tools, listenv (≥ 0.8.0), R.rsp, markdown
Published:	2022-04-25
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

Documentation:

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

Downloads:

Package source:	future.apply_1.9.0.tar.gz
Windows binaries:	r-devel: future.apply_1.9.0.zip, r-release: future.apply_1.9.0.zip, r-oldrel: future.apply_1.9.0.zip
macOS binaries:	r-release (arm64): future.apply_1.9.0.tgz, r-oldrel (arm64): future.apply_1.9.0.tgz, r-release (x86_64): future.apply_1.9.0.tgz, r-oldrel (x86_64): future.apply_1.9.0.tgz
Old sources:	future.apply archive

Reverse dependencies:

Reverse depends:	dhReg, MAMS
Reverse imports:	AIPW, aroma.cn, BAMBI, BEKKs, bigDM, blavaan, bolasso, codalm, conformalInference.fd, conformalInference.multi, cSEM, dipsaus, disk.frame, DQAstats, drtmle, EFAtools, EpiNow2, epwshiftr, forecastML, fundiversity, genBaRcode, geocmeans, gWQS, hackeRnews, hacksig, haldensify, iml, incubate, InPAS, keyATM, lava, lightr, MAI, mcmcensemble, mcp, microSTASIS, missSBM, mlr3, mrgsim.parallel, multiverse, origami, pavo, phylolm, PLNmodels, portvine, prewas, qape, QDNAseq, qgcomp, qgcompint, rangeMapper, rBiasCorrection, refineR, robotstxt, RTransferEntropy, scDiffCom, sctransform, semtree, Seurat, SeuratObject, Signac, simfinapi, simglm, sims, smoots, sNPLS, solitude, SPARSEMODr, spatialwarnings, sperrorest, spNetwork, steps, supercells, targeted, tcplfit2, TSstudio, XNAString
Reverse suggests:	arkdb, bcmaps, blockCV, cvCovEst, DeclareDesign, fabletools, future.batchtools, future.callr, gstat, inlinedocs, ivmte, LexFindR, lgr, marginaleffects, merTools, metabolomicsR, mikropml, MineICA, mlr3db, modelsummary, MOSS, PeakSegDisk, penaltyLearning, progressr, sdmApp, sentopics, shar, spaMM, stars, txshift, wildmeta

Linking:

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