simpleCache: Simply Caching R Objects

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
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

Documentation:

Reference manual: simpleCache.pdf
Vignettes: Generating caches on a cluster
Sharing caches across projects
An introduction to simpleCache

Downloads:

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
Old sources: simpleCache archive

Reverse dependencies:

Reverse imports: COCOA
Reverse enhances: LOLA

Linking:

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