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:
1.20.0
Depends:
R (≥ 3.2.0),
future (≥ 1.49.0)
Published:
2025年06月06日
Author:
Henrik Bengtsson
ORCID iD
[aut, cre, cph],
R Core Team [cph, ctb]
Maintainer:
Henrik Bengtsson <henrikb at braju.com>
NeedsCompilation:
no
Language:
en-US
Documentation:
Downloads:
Reverse dependencies:
Reverse imports:
adestr,
AIPW,
alphaci,
ao,
ARCHISSUR,
aroma.cn,
BAMBI,
bayesSSM,
bbknnR,
BEKKs,
bigDM,
blavaan,
bolasso,
brms,
bspcov,
calmr,
canaper,
chopin,
clickR,
ClustIRR,
codalm,
collinear,
conformalInference.fd,
conformalInference.multi,
cSEM,
deseats,
dipsaus,
disk.frame,
distantia,
doFuture,
DQAstats,
DRPT,
drtmle,
dsos,
DTEAssurance,
e2tree,
EconCausal,
EFAtools,
EGAnet,
fastbioclim,
FastJM,
fdacluster,
FDOTT,
fect,
fitlandr,
forecastML,
FracFixR,
fundiversity,
futureverse,
gammaFuncModel,
genBaRcode,
geocmeans,
geohabnet,
geomeTriD,
GPCsign,
gWQS,
haldensify,
hbamr,
iml,
incubate,
iNEXT.beta3D,
ino,
InPAS,
InterpolateR,
isopam,
IVPP,
jackknifeR,
JANE,
jpinfect,
kappaGold,
kernelboot,
keyATM,
kmeRtone,
LandComp,
lava,
lightr,
LLMR,
LTFGRS,
LTFHPlus,
MAI,
malariaAtlas,
mcmcensemble,
mcp,
MDCcure,
MIC,
missSBM,
mlr3,
mlr3summary,
modeltuning,
mrgsim.parallel,
mrIML,
nestedcv,
NetSimR,
neuroim2,
nixtlar,
oeli,
opImputation,
optic,
optimLanduse,
origami,
outliers.ts.oga,
OutSeekR,
PAMpal,
PAMscapes,
pavo,
pgxRpi,
phylolm,
phylopath,
PLNmodels,
polle,
portvine,
powRICLPM,
qape,
QBMS,
QDNAseq,
qgcomp,
qgcompint,
rangeMapper,
rBiasCorrection,
readsdr,
readyomics,
recforest,
refineR,
restriktor,
robotstxt,
rSDR,
rsi,
Rsolnp,
RTransferEntropy,
s3fs,
scDiffCom,
scStability,
sctransform,
SDModels,
semtree,
seqHMM,
SEQTaRget,
Seurat,
SeuratObject,
shapr,
sharp,
Signac,
signeR,
SimDesign,
simglm,
sims,
smoots,
sNPLS,
socialSim,
solitude,
spatialwarnings,
sperrorest,
spNetwork,
spStack,
squat,
steps,
stppSim,
supercells,
targeted,
TaxaNorm,
tidySEM,
Tivy,
tramvs,
TreeMineR,
tsdistributions,
tsgarch,
tsissm,
tsmarch,
winputall,
wizaRdry,
wqspt,
ycevo
Reverse suggests:
AgePopDenom,
altdoc,
arkdb,
BayesianMCPMod,
bcmaps,
bsitar,
cellGeometry,
ctsem,
cvCovEst,
DAISIE,
datefixR,
DeclareDesign,
detectXOR,
EpiNow2,
fabletools,
ferrn,
future.batchtools,
future.callr,
future.mirai,
fwb,
gstat,
hero,
hydroloom,
important,
inlinedocs,
ivmte,
LexFindR,
lgr,
marginaleffects,
merTools,
metasnf,
mikropml,
MineICA,
mlr3db,
modelsummary,
nhdplusTools,
normref,
pbapply,
PeakSegDisk,
penaltyLearning,
phyr,
powergrid,
progressr,
ravepipeline,
receptiviti,
rgeomorphon,
SCGLR,
sdmTMB,
SelectBoost.beta,
sentopics,
SFHNV,
spaMM,
stars,
stenographer,
svycoxme,
svytest,
tune,
txshift,
vital,
wildmeta
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