future.apply
type: Item
swMATH work ID: 33359
instance of: R package
software version identifier: 1.10.0
software version identifier: 1.11.0
software version identifier: 0.1.0
software version identifier: 0.2.0
software version identifier: 1.0.0
software version identifier: 1.0.1
software version identifier: 1.1.0
software version identifier: 1.2.0
software version identifier: 1.3.0
software version identifier: 1.4.0
software version identifier: 1.5.0
software version identifier: 1.6.0
software version identifier: 1.7.0
software version identifier: 1.8.1
software version identifier: 1.9.0
software version identifier: 1.9.1
software version identifier: 1.11.1
CRAN project: future.apply
maintained by: Henrik Bengtsson
programmed in: R
last update: 2023-12-21T00:00:00Z
description: 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.
author: Henrik Bengtsson
copyright license: GNU General Public License, version 2.0
copyright license: GNU General Public License, version 3.0
depends on software: future
depends on software: R
imports: globals
imports: parallel
imports: utils
MaRDI profile type: Software
source code repository: uture.apply
description: Apply Function to Elements in Parallel using Futures