CRAN/E | future.apply

future.apply

Apply Function to Elements in Parallel using Futures

Installation

About

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.

Citation future.apply citation info
future.apply.futureverse.org
github.com/HenrikBengtsson/future.apply
Bug report File report

Key Metrics

Version 1.10.0
R ≥ 3.2.0
Published 2022-11-05 142 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks future.apply results

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Maintainer

Maintainer

Henrik Bengtsson

henrikb@braju.com

Authors

Henrik Bengtsson

aut / cre / cph

R Core Team

cph / ctb

Material

NEWS
Reference manual
Package source

In Views

HighPerformanceComputing

Vignettes

A Future for R: Apply Function to Elements in Parallel

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

future.apply archive

Depends

R ≥ 3.2.0
future ≥ 1.28.0

Imports

globals ≥ 0.16.1
parallel
utils

Suggests

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listenv ≥ 0.8.0
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