In partnership with researchers in the Center for Public Health Genomics, School of Medicine Research Computing has contributed to the development of a novel package for computationally efficient caching and loading of data in R. simpleCache provides an interface to a series of functions to store and retrieve cached objects, including in the context batch processing or HPC environments. The package further extends base R functionality of saving and loading external representations of objects by enabling caching to pre-defined directories and timed cache operations.
SOMRC helped document and develop new functions for the package ahead of its release to the Comprehensive R Archive Network (CRAN). An accompanying article was selected for publication in the Journal of Open Source Software in early 2018.
PI: Nathan Sheffield (Center for Public Health Genomics)
Sheffield et al., (2018). simpleCache: R caching for reproducible, distributed, large-scale projects. Journal of Open Source Software, 3(21), 463, https://doi.org/10.21105/joss.00463