Provides intuitive functions for caching R objects, encouraging reproducible, restartable, and distributed R analysis. The user selects a location to store caches, and then provides nothing more than a cache name and instructions (R code) for how to produce the R object. Also provides some advanced options like environment assignments, recreating or reloading caches, and cluster compute bindings (using the 'batchtools' package) making it flexible enough for use in large-scale data analysis projects.
Version: | 0.4.2 |
Suggests: | knitr, rmarkdown, testthat |
Enhances: | batchtools |
Published: | 2021-04-17 |
DOI: | 10.32614/CRAN.package.simpleCache |
Author: | VP Nagraj [aut], Nathan Sheffield [aut, cre] |
Maintainer: | Nathan Sheffield <nathan at code.databio.org> |
BugReports: | https://github.com/databio/simpleCache |
License: | BSD_2_clause + file LICENSE |
URL: | https://github.com/databio/simpleCache |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | simpleCache results |
Reference manual: | simpleCache.pdf |
Vignettes: |
Generating caches on a cluster Sharing caches across projects An introduction to simpleCache |
Package source: | simpleCache_0.4.2.tar.gz |
Windows binaries: | r-devel: simpleCache_0.4.2.zip, r-release: simpleCache_0.4.2.zip, r-oldrel: simpleCache_0.4.2.zip |
macOS binaries: | r-release (arm64): simpleCache_0.4.2.tgz, r-oldrel (arm64): simpleCache_0.4.2.tgz, r-release (x86_64): simpleCache_0.4.2.tgz, r-oldrel (x86_64): simpleCache_0.4.2.tgz |
Old sources: | simpleCache archive |
Reverse imports: | COCOA |
Reverse enhances: | LOLA |
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