delarr: Lazy Delayed Arrays with Fused Execution
Provides a lightweight delayed array abstraction for lazy, fused evaluation of multi-dimensional numeric data. Compared with Bioconductor's 'DelayedArray', it offers a small S3 API with tidy-friendly verbs, chunked materialisation, and optional backends for HDF5, memory mapping, and shared-memory parallelism. Expression trees are optimised before streaming evaluation, and results can be written directly to disk without fully materialising arrays in memory.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1) |
| Imports: | rlang |
| Suggests: | hdf5r, mmap, matrixStats, shard, testthat (≥ 3.1.0), knitr, rmarkdown |
| Published: | 2026-06-30 |
| DOI: | 10.32614/CRAN.package.delarr (may not be active yet) |
| Author: | Bradley Buchsbaum 
[aut, cre, cph] |
| Maintainer: | Bradley Buchsbaum <brad.buchsbaum at gmail.com> |
| BugReports: | https://github.com/bbuchsbaum/delarr/issues |
| License: | MIT + file LICENSE |
| URL: | https://bbuchsbaum.github.io/delarr/, https://github.com/bbuchsbaum/delarr |
| NeedsCompilation: | yes |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | delarr results |
Documentation:
| Reference manual: | delarr.html , delarr.pdf |
| Vignettes: |
Advanced Chunking and Backends in delarr (source, R code) Getting Started with delarr (source, R code) |
Downloads:
| Package source: | delarr_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): delarr_0.1.0.tgz, r-oldrel (arm64): delarr_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): delarr_0.1.0.tgz |
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