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.

Getting started

Package details

AuthorHenrik Bengtsson [aut, cre, cph] (<https://orcid.org/0000-0002-7579-5165>), R Core Team [cph, ctb]
MaintainerHenrik Bengtsson <henrikb@braju.com>
LicenseGPL (>= 2)
URL https://future.apply.futureverse.org https://github.com/HenrikBengtsson/future.apply
Package repositoryView on CRAN
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future.apply documentation built on May 29, 2024, 7:48 a.m.