# ----------------------------------------------------------- # CITATION file created with {cffr} R package, v0.5.0 # See also: https://docs.ropensci.org/cffr/ # ----------------------------------------------------------- cff-version: 1.2.0 message: 'To cite package "future.apply" in publications use:' type: software license: GPL-2.0-or-later title: 'future.apply: Apply Function to Elements in Parallel using Futures' version: 1.11.0 doi: 10.32614/RJ-2021-048 abstract: 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. authors: - family-names: Bengtsson given-names: Henrik email: henrikb@braju.com preferred-citation: type: article title: A Unifying Framework for Parallel and Distributed Processing in R using Futures authors: - family-names: Bengtsson given-names: Henrik email: henrikb@braju.com year: '2021' journal: The R Journal doi: 10.32614/RJ-2021-048 url: https://doi.org/10.32614/RJ-2021-048 volume: '13' issue: '2' start: '208' end: '227' repository: https://henrikbengtsson.r-universe.dev repository-code: https://github.com/HenrikBengtsson/future.apply url: https://future.apply.futureverse.org contact: - family-names: Bengtsson given-names: Henrik email: henrikb@braju.com