future.apply: Apply Function to Elements in Parallel using Futures

Implementations of apply(), eapply(), lapply(), Map(), 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.

Getting started

Package details

AuthorHenrik Bengtsson [aut, cre, cph], R Core Team [cph, ctb]
MaintainerHenrik Bengtsson <[email protected]>
LicenseGPL (>= 2)
Version1.1.0
URL https://github.com/HenrikBengtsson/future.apply
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("future.apply")

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future.apply documentation built on Jan. 17, 2019, 9:04 a.m.