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future.batchtools  

A Future API for Parallel and Distributed Processing using 'batchtools'
View on CRAN: Click here


Download and install future.batchtools package within the R console
Install from CRAN:
install.packages("future.batchtools")

Install from Github:
library("remotes")
install_github("cran/future.batchtools")

Install by package version:
library("remotes")
install_version("future.batchtools", "0.12.1")



Attach the package and use:
library("future.batchtools")
Maintained by
Henrik Bengtsson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-03
Latest Update: 2023-12-20
Description:
Implementation of the Future API on top of the 'batchtools' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute ('HPC') job schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS', e.g. 'y <- future.apply::future_lapply(files, FUN = process)'.
How to cite:
Henrik Bengtsson (2017). future.batchtools: A Future API for Parallel and Distributed Processing using 'batchtools'. R package version 0.12.1, https://cran.r-project.org/web/packages/future.batchtools. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.5.0 (2017-06-03 19:52), 0.6.0 (2017-09-11 09:50), 0.7.0 (2018-05-04 06:18), 0.7.1 (2018-07-18 23:30), 0.7.2 (2019-01-04 14:50), 0.8.0 (2019-05-05 08:10), 0.8.1 (2019-10-01 07:10), 0.9.0 (2020-04-14 20:40), 0.10.0 (2021-01-04 22:20), 0.11.0 (2022-12-14 22:40), 0.12.0 (2023-02-24 10:30)
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