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, r-oldrel (x86_64): simpleCache_0.4.2.tgz
Old sources:	simpleCache archive

Reverse dependencies:

Reverse imports:	COCOA
Reverse enhances:	LOLA

Linking:

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