DockerParallel: Using the Docker Container to Create R Workers on Local or Cloud Platform

This is the core package that provides both the user API and developer API to deploy the parallel cluster on the cloud using the container service. The user can call clusterPreset() to define the cloud service provider and container and makeDockerCluster() to create the cluster. The developer should see "developer's cookbook" on how to define the cloud provider and container.

Version: 1.0.4
Imports: methods, utils, jsonlite
Suggests: markdown, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2021-06-23
DOI: 10.32614/CRAN.package.DockerParallel
Author: Jiefei Wang [aut, cre]
Maintainer: Jiefei Wang <szwjf08 at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: DockerParallel results


Reference manual: DockerParallel.pdf
Vignettes: developer-cookbook


Package source: DockerParallel_1.0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): DockerParallel_1.0.4.tgz, r-oldrel (arm64): DockerParallel_1.0.4.tgz, r-release (x86_64): DockerParallel_1.0.4.tgz, r-oldrel (x86_64): DockerParallel_1.0.4.tgz
Old sources: DockerParallel archive

Reverse dependencies:

Reverse imports: ManagedCloudProvider, RedisBaseContainer


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