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 |
| 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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