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delayed  

A Framework for Parallelizing Dependent Tasks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("delayed", "0.5.0")



Attach the package and use:
library("delayed")
Maintained by
Jeremy Coyle
[Scholar Profile | Author Map]
First Published: 2020-02-28
Latest Update: 2022-10-19
Description:
Mechanisms to parallelize dependent tasks in a manner that optimizes the compute resources available. It provides access to "delayed" computations, which may be parallelized using futures. It is, to an extent, a facsimile of the 'Dask' library (), for the 'Python' language.
How to cite:
Jeremy Coyle (2020). delayed: A Framework for Parallelizing Dependent Tasks. R package version 0.5.0, https://cran.r-project.org/web/packages/delayed. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.3.0 (2020-02-28 12:40), 0.4.0 (2022-10-20 00:25)
Other packages that cited delayed R package
View delayed citation profile
Other R packages that delayed depends, imports, suggests or enhances
Complete documentation for delayed
Functions, R codes and Examples using the delayed R package
Some associated functions: DelayedClass . FutureJob . Job . Scheduler . SequentialJob . bundle_delayed . delayed . eval_delayed . find_delayed_error . make_graph . plot.Delayed . plot_delayed_shiny . 
Some associated R codes: Delayed.R . Job.R . Scheduler.R . debug_helpers.R . delayed-package.R . task_graph.R . task_graph_shiny.R . utils.R . zzz.R .  Full delayed package functions and examples
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