lazyarray: Persistent Large Data Array with Lazy-Loading on Demand

Multi-threaded serialization of compressed array that fully utilizes modern solid state drives. It allows to store and load extremely large data on demand within seconds without occupying too much memories. With data stored on hard drive, a lazy-array data can be loaded, shared across multiple R sessions. For arrays with partition mode on, multiple R sessions can write to a same array simultaneously along the last dimension (partition).

Version: 1.0.0
Imports: Rcpp (≥ 1.0.4), R6, fstcore, yaml
LinkingTo: Rcpp, fstcore
Suggests: testthat, knitr, fst, rmarkdown
Published: 2020-06-24
Author: Zhengjia Wang [aut, cre, cph], Mark Klik [ctb, cph] (Copyright holder of fstcore package)
Maintainer: Zhengjia Wang < at>
License: AGPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Language: en-US
Materials: NEWS
CRAN checks: lazyarray results


Reference manual: lazyarray.pdf
Vignettes: Basic Usage of LazyArray
Package source: lazyarray_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: lazyarray_1.0.0.tgz, r-oldrel: lazyarray_1.0.0.tgz


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