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crew  

A Distributed Worker Launcher Framework
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/crew")

Install by package version:
library("remotes")
install_version("crew", "0.9.1")



Attach the package and use:
library("crew")
Maintained by
William Michael Landau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-21
Latest Update: 2024-02-08
Description:
In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) , 'rrq' by FitzJohn and Ashton (2023) , 'clustermq' by Schubert (2019) ), and 'batchtools' by Lang, Bischel, and Surmann (2017) .
How to cite:
William Michael Landau (2023). crew: A Distributed Worker Launcher Framework. R package version 0.9.1, https://cran.r-project.org/web/packages/crew
Previous versions and publish date:
0.0.4 (2023-03-21 18:30), 0.0.5 (2023-03-23 23:32), 0.1.0 (2023-04-19 14:50), 0.1.1 (2023-04-21 10:02), 0.2.1 (2023-05-22 23:10), 0.3.0 (2023-06-26 15:50), 0.4.0 (2023-07-11 01:40), 0.5.0 (2023-09-18 16:20), 0.6.0 (2023-10-12 11:50), 0.7.0 (2023-12-11 16:50), 0.8.0 (2024-01-09 10:20), 0.9.0 (2024-02-08 06:30), 0.9.1 (2024-03-25 17:40)
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